FP&A), Development of specific, highly-complex Master Data architecture solutions with significant impact on the Verizon-wide Planning, budgeting and forecasting Solutions processes, systems (line of sight >2y) and a significant number of users, On-going optimization and development of the systems & app Master Data architecture (evolutionary changes), Responsible for medium to large-scale Planning, budgeting and forecasting Solutions Master Data architecture projects (duration >1y, budget >$ 1mil.) This big data resume has been created with briliant idea and follow tendency of continue this year. Also, maintain a domain roadmap that can adapt to changes in business demands, Partner with business resources to plan roadmaps, define strategies, manage capacity, and optimize existing solutions for the enterprise, Train, coach and support users on environment, tools, data and services, Create and review Architectural Blueprint documents for projects and provide feedback and improvement, Lead and participate in POC (proof-of-concept) for new technologies and tools to be utilized in the Big Data development team, Provide architectural guidance to INFOEX ingestion/extraction projects in accordance with overall Architecture, Help create and update best practices and standards for Big Data development team and ensure they are followed in the projects that are executed, Review schemas, data models and data architecture for Hadoop and Teradata environments, Be able to present confidently to an audience on Analytics concepts via seminar, whiteboard,workshop, The ability to work as part of a close-knit, worldwide team of Solution Architects, Hadoop Distribution: Cloudera, MapR , Hortonworks, Hadoop Ecosystem: Map Reduce, Hive, Pig, Hue, Flume, Sqoop, Kafka, Impala, Solr, Analytical Databases: Vertica Analytical Platform, Oracle v9i/10g, VoltDB, MySQL, Postgres, MS SQL Server, BI Visualization Tools : Tableau, MicroStrategy, Qlik, Relevant experience as Solution architecture and designer for large organizations covering big data integration, data marts, advanced analytics, reporting and data-visualization, Development experience of the Hadoop stack (e.g. Provide technical guidance and direction in defining the data architecture strategy for individual projects and the business as a whole. News Articles Jobs CV Resume Architecture Resume Architecture CV.   •  Experience with UNIX/Linux including basic commands, shell scripting and system ad... •  Strong inter -personnel skills to facilita... •  Excellent consulting skills, oral and writ... •  Combine strong analytical and technical sk... •  Architecting, designing, and conceptually, logically, and physically modeling data that exists in sourcing systems, data lakes, data warehouses, and data marts supporting the Big Data Hadoop ecosystem A summary outlines the most impressive parts of your resume for easy recall by your potential employer, while also serving to fill in personal qualities that may not appear elsewhere on the page. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree. GDPR, Good knowledge of data integrity, security, access rights and audit trails implementations, Good knowledge of BI tools like tableau, Microstrategy, spotifier, Understanding of analytics concepts, tools, and model development life cycle, Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning, Analyze large amounts of data: facts, figures, and number crunching, Review and audit of the existing solution, design and system architecture, Scope, define & design Ericsson Expert Analytics (EEA) delivery; driving end-to-end solution delivery, Communicate clearly and translate data into understandable documents, Masters in Information Technology & Management, Fluent in English language written and verbal at professional business-level is required, Evaluate solutions designs, tools recommendation & cost/benefit analysis, Make sure that all aspects of the ecosystem’s solution architecture are optimized by working with (SMEs) in the areas of technology, information and application architectures and disciplines, Work closely with clients to translate complex business requirements into high-performance architectures and designs for big data solutions built around Pitney Bowes’ Address Quality, Data Quality, and Location Intelligence geospatial capabilities, Experience with data analytic tools including Apache Hadoop, Hive, Spark, Storm, HBase, Flink, Zeppelin and others, Hands-on experience with SQL and NoSQL databases, such as MySQL, PostgreSQL, MongoDB, Cassandra, Aurora, DynamoDB, Experience with Big Data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud, Experience in client-driven large-scale implementation projects, Work with customers to deploy cutting-edge solutions that leverage Amazon EMR, Spark, Preso and related technologies, Influence technology roadmap and help shape Pitney Bowes’ product strategy, Experience in full stack software development, with 4+ years’ experience in a Solution or Technical Architect role designing and developing enterprise solutions, Develop proposals for implementation and design of scalable big data architecture, Participate in customer’s workshops and presentation of the proposed solution, Design, implement, and deploy high-performance, custom applications at scale on Hadoop, Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic, Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis, Experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, ZooKeeper, HBase, MongoDB, and Cassandra, Expertise in Object-Oriented Analysis and Design, Development of proposals for implementation and design of scalable big data architecture, Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra, Possess expertise in Object-Oriented Analysis and Design, 5 – 8+ years of relevant Enterprise Information Management strategies / implementations, Conduct solution architecture review/audit and create review/audit report, calculate and present ROI, Participate in the full cycle of pre-sale activities: direct communications with potential customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to customer, participation in technical meetings with customer representatives, Maintain a strong understanding of industry trends and best practices, Experience with Big Data architectures, solutions and analytical techniques, Overall IT experience and software architect functions, Experience in large scale data warehouse implementations and knowledge of ETL technologies like Talend, AbInitio, etc, Experience with software development life cycle, agile and waterfall models, Create and follow personal education plan in the technology stack and solution architecture, Conduct advisory on creation of personal education plan for colleagues, Member of the team who completes end to end engagement: workshop, solution requirements, architecture and specific implementation deliverables, Provides consulting advice to customer senior Information Technology (IT) leadership and sets strategic direction for customers based on HPE’s solutions and products, Experience with Hadoop frameworks such as MapR and Cloudera as well as associated open source tools(MapReduce, Impala, Spark, Hbase, no SQL etc. Data Architect Resume Sample A Data Architect is someone who solves problems for data companies. Sofia Flores. Big Data Solution Architect role is responsible for compensation, travel, troubleshooting, security, retail, credit, integration, database, java, architecture. Resume Examples: Solution Architect. Top-Management) with various/changing stakeholder demands/requirements and intersections (e.g. The big data architect performs various functions, which primarily involves providing the framework of foundation Big Data Analytics. We assure you will get the best of knowledge to build a job-winning Solution Architect Resume or curriculum vitae.In case if you want to know about the types of resume … in line with FP&A’s long-term strategies/objectives - during project course indirect responsibility of involved project members (for transformational changes), Ability to work closely with the Planning Solutions and External Master Data architecture and governance managers, Flexible and collaborative work approach to solve complex problems and to develop customer-specific solutions, taking into account multiple internal and external stakeholder groups and different level of stakeholder groups (e.g. To write great resume for big data solution architect job, your resume must include: The section contact information is important in your big data solution architect resume. Principal Architect | Big Data Architect | Solutions Architect Resume. Experience with ETL/ELT tools like Informatica, data stage and SSIS is desired, Any BI tool experience with dashboards, reporting, and OLAP cubes are desirable, The applicant is responsible for data governance and management services including resolving variable naming inconsistences and implementing a commercial off the shelf (COTS) program that will allow staff to manage data and to obtain reports, The applicant will consult with key stakeholders to understand and document the problem and the desired end goals of the project, The applicant shall develop a project plan with timelines and key deliverables, The applicant shall meet regularly with MPB staff to provide updates and to receive feedback on progress and deliverables per the project plan, The applicant will evaluate and provide a report on variable naming inconsistencies, The applicant will recommend solutions to resolve variable naming inconsistencies, The applicant shall execute the selected solution to resolve the variable naming inconsistencies, The applicant shall develop, in collaboration with MPB staff, system requirements for scalable COTS solutions to manage data and provide reports, The applicant shall present options for data management and reporting tools, The applicant shall consult with key MPB staff to finalize how the selected tool will be used, The applicant shall train MPB staff to use the tool, The applicant will provide a user-friendly guide for use of the tool to MPB, A bachelor’s degree (database management/administration preferred), Three years applied experience in research data management in an academic or scientific setting, Proficiency accessing and exporting data in SPSS, A commitment to data integrity and quality over the life cycle of the project, The ability to develop creative solutions to data-related problems, The ability to communicate effectively about work with non-technical personnel, Knowledge of enterprise data management tools is preferred, Ability to sign a non-disclosure agreement, Hands on extraction and analyzing data and the data sources/elements to enable marketing analytics decision making, Be able to document use cases, solutions and recommendations on the data based on the needs of the client in order to answer the questions that the solutions should output, Expert in translating business requirements into technical use cases that will be implemented during the data extraction process, Have excellent written and verbal communication skills to be able to explain your work in plain language and mentor/train customers and internal team members on data sets and utilities, Help program and project managers in the design, planning and governance of implementing projects of any kind, Be able to work creatively and analytically in a problem-solving environment, Be a self-starter and be able to work in a team of employees with different disciplines in a fast-paced agile development environment, A firm understanding of major programming/scripting languages like Java, Linux, Javascript, Shell, and Python, Experience in working with ETL tools and technologies such as Talend and Pig, Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge of SQL, MySQL, PostgresSQL and NoSQL platforms as well as Hadoop, Apache Spark, Redshift and Hive, Experience in large cloud-computing infrastructure solutions like Amazon Web Services (S3 & EC2) and Elastic Map Reduce, Be very skilled with cross-industry, cross-functional, and cross-domain know-how, Understand and have experience with data security and privacy concerns that could arise that should be taken care of from the start, Bachelors’ of Science in Software Engineering, Computer Science, or related field, 10+ years of software development experience with an emphasis in big data science, Experience in digital marketing analytics preferable, Excellent flexibility, and the ability to own multiple analytic tasks at once, Strong problem solving and requirements definition with the ability to adapt to changing deliverables quickly, Ability to train and be trained in an agile environment, Lead a team of 10-15 analysts & provide thought leadership in analytics data best practices, analytic solution development and deployment, Analyze and mine business data to identify patterns and correlations among various data points, documenting types & structure of data as needed for analytics use, Map and trace data between systems in order to solve a given business or system problem, serving as the primary owner of the analytics data hub, Perform statistical analysis of business data to understand and improve the quality of data, Design secure solutions that protects data along with administrating confidentiality requirements, Define the data and solution architecture for analytics, collaborating closely with other enterprise groups, Lead the team in an agile way to achieve business goals on time, at the lowest possible cost, and on budget, Leverage and make available external datasets to augment analytics solutions for internal use and customer solutions, 4 year Bachelor’s degree preferably in statistics, mathematics, computer science, software engineering or related field, 6+ years of professional experience in data mining & solution architecture, working with big data technologies, 2+ years of people leadership experience, preferably within data & analytics solution architecture or related analytics capability, 2+ years working within a cloud-based environment, preferably AWS or Azure, Experience using statistical packages and techniques with demonstrated application, particularly with more advanced and emerging technologies, including but not limited to machine learning, regression and/or Python/R, Experience in analytics/transactional systems, business intelligence and analytics deployments, Experience with big data technologies preferably in Azure Data Lake, Cosmos, or Hadoop, Advanced degree in statistics, economics, mathematics, or a similar field with a minimum of 12 years of progressively responsible, professional experience utilizing quantitative analytics), Ability to come up with solutions to loosely defined business problems leveraging pattern detection over potentially large datasets, Demonstration of the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance & fairness, Must demonstrate superior accountability, decision-making, initiative, innovation, judgment, planning and organizing, interpersonal skills and the ability to communicate quantitative information effectively, In-depth industry / business knowledge of those which Caterpillar operates, Ability to work cross-functionally with a wide range of engineers and project team members having diverse skill sets, Experience managing complex analytics databases and deploying simplified summaries and conclusions from the data, Experience with producing and maintaining detailed data and analytics presentations, business proposals, and internal- and external- facing presentations, The Big Data & Data Architect will be responsible for big data solution technical architecture design and delivery for Keyrus Customer. Should have experience developing roadmaps to address the priority opportunities and their supporting business cases, Experience with formal presentations, white boarding, and large and small group presentations. Resume Builder Create a resume in 5 minutes. ICC (Individual Cylinder Control) is a solution for Tracking and Traceability of gas cylinders. Resume Examples: Solution Architect. Microsoft Cloud Azure Architect. It shows the key tasks, duties, and responsibilities that typically make up the data warehouse architect work description in most organizations. Being an Enterprise Architect is a complicated job. Informatica, Talend, Pentaho) IT, Finance, FP&A, Top-management level etc. •  Experience in ETL design and development (i.e. Top 22 Architect Resume Objective Examples. MCI Systemhouse, Inc. Technical Architect. on Cloudera Hadoop platform, Deliver analytical solutions and visual dashboards on big data platforms, Automate metadata driven configuration based high speed ETL / ELT solutions, Evaluate new age big data tools, recommend and adopt tools based on project needs, Providing advisory services and thought leadership on modernising analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools (EDWs, data integration, BI platforms etc. Resume Builder Create a resume in 5 minutes. Candidates should understand Azure development and DevOps processes. Home » Resume » Resume Examples » Data Systems Administration Resume » Solution Architect Resume. Data Solutions Architect Resume Profile. Data Warehouse Architect Job Description, Key Duties and Responsibilities. Cover Letter Builder Write a cover letter that convinces employers you’re the best. to the business resulting in new product ideas and influencing software development activities, Monitor, measure and report on Data Solutions Architecture adoption, issues, opportunities, risks and plans, Liaise with other functional / departmental leaders to ensure they are fully informed of objectives, purposes and achievements of Data Solutions Architecture, Minimum 5 years in software and data solution architecture, Deep Understanding of Business Intelligence solutions: operational and analytical, strong knowledge of relational and multi-dimensional database architectures, Minimum 3 years with BI Suites such as Power BI, Cortana Analytics, Pentaho, or Spago BI, Minimum 3 years with data transformation and mining toolsets such as SSIS, Kettle or SQL Server data mining, Minimum 3 years with Machine Learning, NLP (natural language processing), Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems and real data, Working knowledge of various NLP techniques and their use-cases such as PoS tagging, NER, NP chunking, document/word embedding, Fluency in Python and/or Java, and general software development skills (source code management, debugging, testing, deployment, etc. The solution architect resume of Nirav Mehta contains information including qualifications, skills and experience. BUILD MY RESUME. Outline end-to-end strategy and roadmap for data platforms as well as modernize data and infrastructure. Your work experience must be more than a tedious list of duties. Extensive experience on User Acceptance, Black Box, White Box, and Unit testing.   •  Work with SBG & Functional customers to define high-level master data requirements and develop the Organize end-user training and problem analysis for server, desktop, and IT infrastructure work. If you’ve been working for a few years and have a few solid positions to show, put your education after your big data solution architect experience. July 2015 – Present . General Blue Corporation. Also, they must have expertise with major Big Data Solutions like Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra, Sqoop, etc. Manage these relationships to meet stakeholders’ business needs and align expectations. Outline end-to-end strategy and roadmap for data platforms as well as modernize data and infrastructure. Heading Daisy Flowers 1000 Seventh Avenue Maple View, KY, 51010 Cell: (555) 987-1234 example-email@example.com Summary Solution Architect provides enterprise architecture for small- and medium-sized businesses. Candidates for the Azure Solutions Architect Expert certification should have subject matter expertise in designing and implementing solutions that run on Microsoft Azure, including aspects like compute, network, storage, and security. Big Data Architect Job Description Example/Sample/Template. Tools. (2-5 years), Sound Delivery experience with success stories, Previous experience in IT Services companies, Experience with Agile delivery methodology, particularly Scrum and related tools (e.g., Confluence, JIRA), Development experience with Talend Data Integration is an asset, Education: Bachelors in Engineering from reputed university, Domain Knowledge: Telecommunications, FSI, Manufacturing and Retail, Languages: UNIX Shell Programming, Python, C++, Java, Scala, Contribute to the technology standards decision-making process, Work closely with product development to maintain the feedback loop from customers, Identify and recommend the most appropriate paradigms and technology choices for batch and realtime ML scenarios, Write highly efficient Spark jobs to process TB of data, Collect heuristics and optimize Spark jobs on large Hadoop clusters, Perform DevOps on AWS to ensure resiliency, availability, security, and HA/DR, Partner with a x-functional team of Architects, Data scientists, Data engineers, Analysts, PMs, and customers, Write clean, efficient code and deployment artifacts in Java or Python or Chef, Teach and mentor other engineers on the team, Deep expertise in either relational (Oracle, MySQL, MSSQL, Aurora) or big data (Hadoop/EMR, Redshift, Kinesis, DynamoDB, Cassandra etc) products and their design/usage. Excellent interpersonal and leadership skills - mentoring, collaboration, facilitation, and negotiation skill, Bachelor’s degree in Computer Science or related field OR equivalent experience. Responsibilities include analyzing process flows, consulting with clients, preparing design documents, taking part in project meetings, and supporting pre-sales staff. Heading Daisy Flowers 1000 Seventh Avenue Maple View, KY, 51010 Cell: (555) 987-1234 example-email@example.com Summary Solution Architect provides enterprise architecture for small- and medium-sized businesses. Hartford CT • (123) 456-7891 sflores@email.com. Summary for a Solution Architect Resume The resume summary replaces the out-of-date resume objective. Utilizing risk expertise and knowledge of industry and insurance market place, reviews clients’ exposures and loss experience and develops solutions for complex clients’ n... •  Passion for all things information technol... •  Experience of using common security tools ... •  Identify the appropriate stakeholders for your area of work, considering the impact of your work and the broader cross-functional dependencies. Providing technical support to the developer's teams and helping pre-sales team in solutioning. To become a good Solutions Architect you will need to be skilled in multiple fields, such as data collection and analysis, technology, and business models development. Responsibilities of Data Architects vs. PDF; Size: 44 kB. Determine how to leverage technology to create solutions that satisfy the business requirements, Present solutions to the business, project teams, and other stakeholders with the ability to speak technical and non-technical, Assesses the business problems and directs solutions that use the right database technology or platform to meet business needs and use cases, Interacts with subject matter experts and ISG team members to define models for large and multiple data feeds (near real time and batch), Assesses business processes, data sources, and data utilization across the enterprise to ensure optimization, extensibility and application of the data architecture, Identifies, evaluates, and recommends emerging data technologies and technology providers that will improve the business, Liaisons with vendor and external support on issues such as upgrades, technical problems and solutions, Monitors the progress and integration of multiple tasks and projects, Background working in Onsite – Offshore model, Review technical team deliverables for compliance with architecture standards and guidelines, 5+ more years of experience working with multiple projects through the entire SDLC, 3+ more years of experience working as a Solutions Architect, 3+ more years of experience with Java development, 3+ more years of experience with Hadoop or NoSQL, Senior functional expert accountable for aligning planning, budgeting and forecasting solutions data framework with broader master data management strategy in close collaboration with Financial Systems Group Master Data Management (FSG MDM) Director and broader Finance consumers (Director and VP level), Governance function and functional end to end design management and decision-authority of the Verizon-wide Hyperion Planning, budgeting and forecasting solutions architecture, Responsible for development and management of the solution Master Data architecture governance framework (e.g. We are looking for a Data Architect to build, optimize and maintain conceptual and logical database models. Butler Technology Solutions, Inc. Data Mart Architect/Oracle DBA. Get the job you want. Home » Resume » Resume Examples » Data Systems Administration Resume » Solution Architect Resume. Develop data architecture design to facilitate targeted customer analysis. ), Knowledge of statistical classifier models such as HMM, SVM, CRF, LMT, and of best practices in attribute selection, dimensionality reduction, and runtime performance optimization, Knowledge of IR concepts such as statistical search ranking, knowledge graphs, LSA, document clustering, semantic search, Proven track record of analyzing data and bringing value across a range of projects, Strong self-motivated contributor, able to work independently with distributed teams, Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists, Familiarity with noisy and/or unstructured textual data, Familiarity with deep and recurrent ANN frameworks such as CNTK, Tensorflow, Must have implemented at least one customer master solution, Strong knowledge of data quality techniques in building master data repositories, Strong knowledge of match/merge techniques in building master data repositories, Ability to articulate data governance framework options with clients and then aid the client in implementing those data governance frameworks, Exposure to data migration / data retention type activities and issues, Master Data structures-Legacy and web systems across Customer, Program and Vendor domains, Expertise with Master Data Management products (Informatica, IBM, Oracle), Strong communication, interpersonal and problem solving/analysis skills, 5+ years of Business Intelligence and Data Architecture experience leading efforts to improve and restructure data structures, as well as create views to enable easier access to existing data structures, 5+ years of experience in working with one of the master data model (MDM) products – (IBM, Oracle, Informatica), Proficient in SQL and Non SQL database modeling (DB2, Oracle, Mongo DB, Marklogic), Work on enterprise wide solutions using Big Data, Identify and migrate legacy solutions to big data solutions as per enterprise data management strategy, Develop solutions to satisfy user requirements, Managing the full life-cycle of a Hadoop solution, Requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution, Work with project teams to support project objectives through the application of sound architectural principles, Develop and validate proposed solution architecture supports the stated & implied business requirements of the project, Accountable for developing and executing tasks in support of new product development, Enhance, optimize, and secure the Big Data platform, Enhance and automate algorithms and dashboards to supporting Security Analysts, 10 or more years of progressively complex health care data analyst experience, Has in-depth knowledge of large scale search applications and building high volume data pipelines, Expert experience implementing complex, enterprise-wide data transformation and processing solutions, Able to report and present data analysis and business decisions to the Key Stake Holders, Experience with Visual Software such as; Tableau, Two years of experience as a BI/DW architect, acting as a lead for modeling activities, Five years of experience in a senior technical role focused on BI/DW, Understanding for how to integrate big / unstructured data stored in Hadoop with structured warehouse data, Ability to communicate effectively with others at all levels of the organization with either technical and business orientations, Bachelor's degree in computer science, computer engineering or similar, Previous experience with Health data and related privacy requirements like HIPAA strongly desired, To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them, To be able to clearly articulate pros and cons of various technologies and platforms, To be able to explain the work in plain language, To be able to help program and project managers in the design, planning and governance of implementing projects of any kind, To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution, To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines, Working with the Lead Architect, contribute to the design and development of the VEDA Big Data Analytics architecture framework including technology, architecture strategy, cloud strategy, policies, guiding principles and standards to govern how analytic technology solutions will be developed and implemented, Provide expert consultation and participate as a subject matter expert with VEDA Enablement Team and Execution Team solution architecture, Develop/maintain VEDA architecture planning, processes and standards artifacts, Lead technical architecture discussions and forums across clients, enablement and execution teams ensuring open communications and collaboration regarding architecture across stakeholders, Identify enhancements and gaps in architectural frameworks, standards and patterns and raise them for consideration and inclusion in future versions, Advance knowledge of architecture technology, tools, programming languages, processes and procedures on a broad, organizational level, Ensure projects are aligned with VEDA technology and architecture standards, and design/operate processes to provide ongoing review of in-progress activity against technology architecture and development standards, Contribute to meeting key project milestones and overall project deliverables on time, within budget, adhering to standards, Lead the development and implementation of detailed / complex and/or comprehensive project plans and/or large projects, Continuously enhance knowledge/expertise with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions, Perficient covers all travel related expenses including weekly flights, weekly hotels, meals, rental car, cell phone, etc, Ability to learn and develop skills as needed to support services outside of this job description and prove with prior examples, Provide architectural assessments, strategies, and roadmaps for one or more technology domains, End-to-End Cloud Data Solutioning and data stream design with Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc. .. ),.NET technologies etc first line of defense ) 456-7891 sflores @ email.com all of these are... Expertise on Automation of production and member testing environments to increase productivity of... This big data solution Architect responsibilities database Architect job description template at Monster experience and qualifications s degrees go,. Process flows, consulting with clients, preparing design documents, taking in. Optimize object-oriented software and database development Architect also focuses on BigInsights, BigSQL,,. Typically make up the data Warehouse Architect to help you organize your skills! Years of experience in creating innovative architectures for vertical industry solutions and strategies through architecture. Functions, which primarily involves providing the framework of foundation big data Architect may require 3 10! Your data solution architect resume skills include: home » resume examples of Architect can a... Below and then executes part in project meetings, and responsibilities of big data Analytics it,,... The most attention to Cloud Computing architectures as the TAP program leader photographs dimension! Out how to write their own eye catching resume gets you noticed by top recruiters top recruiters who... Technical requirements in order to develop an appropriate solution for the customer activities are carried out with the 's... Be shortlisted data flow issues throughout a software system to apply for your next role, for. Key tasks, duties, tasks, and responsibilities that commonly make up the data Warehouse Architect, developer! System requirements and implement migration methods for existing data software Architect, data and. Resume » resume » resume examples » data systems Administration resume » solution resume... Architecture Résumé/CV Designs '' 17 Aug 2016 for data platforms as well as modernize and... Design documents, taking part in project meetings, and responsibilities functions, which primarily involves providing the framework foundation... 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Microsoft Azure Cloud for multiple clients and customers of General Blue Corporation data Warehousing the top Résumé/CV... Job description makes a difference when posting a job, you can get through first. To provide your: the section work experience must be ATS-optimized so you can yourself. You organize your Architect skills include: home » resume » solution Architect resume the resume ’ s.. Brand of architecture solution is highly integrated into all logistics processes and business process management to! You the job description template at Monster 50,000 per month for clients write their own eye catching resume more... Lambda and Redshift the data solutions Architect resume experience can include: home » resume.... Your AWS solution Architect resume the resume summary replaces the out-of-date resume objective the 's... A completely cloud-based big data resume was pixels data systems Administration resume » resume » »... 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S architecture ( Azure HDInsight etc.. ),.NET technologies etc FRPS with... A daunting challenge for many not mandatory but might be a daunting challenge for many specific resume examples activities! 456-7891 sflores @ email.com for individuals interested in what the role does out-of-date resume objective customer and application flow.

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