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Senior Data Architect - Los Angeles

Neilson Financial Services, Los Angeles California

The Senior Data Architect/Manager will join the team to lead and build-out the companies Data Warehouse and BI data platform. This will include driving data decisions related to quality, architecture, security and data management best practices. They will engage directly with Business, BI, and IT leadership, dev teams, architects, and BI analysts’ teams to ensure successful design, development and delivery. The role will also include system analysis, platform design and architecture. This is a “Hands On” role so you must be someone looking to roll up your sleeves and get involved.
Must Have: Bachelor’s degree, or Master’s degree in Computer Science, or applicable field of study 5-8 years of hands-on experience in data architecture principles, methods, techniques and technologies Experience leading teams Technical Certifications (MCSE: Data Management and Analytics, MCSA: SQL 2016 BI Development, Or similar) Expert level understanding of modern data warehouse concepts Demonstrated ability to balance architectural theory with practical solutions Proven background of designing and implementing architecture which solves strategic and tactical business needs Expert level technical understanding of data modelling, design and architectural principals across master data, transaction data and derived/analytic data Expert level knowledge of data management tools, including enterprise repository tools, data modelling tools, data quality tools, data mapping tools, and data profiling tools Deep knowledge of best practices through relevant experience across data related disciplines and technologies, with focus on enterprise-wide data architectures, data management, data governance and data warehousing Strong conceptual knowledge of roles and responsibilities within BI and Data Warehousing (DA, ETL, BI, DBA, SE, QA, and PM) Expert knowledge and demonstrable experience with Azure data and analytic solutions required, including but not limited to, Azure SQL Database, Azure Data Lake, Power BI Integrations, SSIS and SSAS
Exceptional Candidates will have: Excellent communication skills, both written and oral An ability to articulate views and ideas verbally and in writing to the development team, business analysts and both internal and external stakeholders Strong aptitude to learn business processes/products and the role of data within the business domain Serve as an advocate for the data architecture team and data management discipline, policies and standards across the enterprise Personal accountability and drive for excellence Passion for automating manual processes Ability to work autonomously or with minimal supervision Natural curiosity
Duties and Responsibilities: Work as part of a flexible, committed and active technology team to deliver high quality solutions with focus on supporting an International Financial Services business. Provide expert data modelling and data validation services that produce flexible, extensible data structure design and solutions that support effective business decisions Map entities to use cases and business requirements and assist in the development of data services Create and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation Identify opportunities for sharing and utilizing data across boundaries to maximize benefit from the data resource Support analysts in requirements development, research and verification Define Data Architecture standards, best practices and participate in governance activities Create, maintain and define conceptual, logical and physical data models and align them to the Enterprise Architecture. Work with BI team to ensure that the solutions meet the business requirements and target architecture and are delivered as part of a high available data platform. Develop ETL specification and document data migration mappings and transformations for data warehouse loading Review business requirements and technical design documents to develop effective data and database solutions
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