Primary Job Functions
Develop Enterprise Data Strategies helping to modernize existing systems
Collaborate with Business areas and cross functional Enterprise Architects to fully understand business needs and provide strategic consultation and translate requirements into solution architecture and design roadmap.
Actively participate in Data Governance Council
Partner with developers, architects, other technical team members and database administrators to design and develop high performing data solutions and maintain consistent development functions.
Architect Enterprise Cloud Data Access Patterns
Consult with ESD teams as needed to provide architecture considerations on legacy solutions.
Contribute to the development of a mature data stewardship process
Work Experience, Education, Certification/Training Required
Bachelors degree or equivalent certifications / experience required
6 + years Data Warehouse, Data Analytics, Database Modeling experience required
5 + years of Business Intelligence application delivery required Experience in Microsoft Business Intelligence stack (SSIS, SSAS, SSRS, SQL Server) a plus
Experience with Microsoft Azure Platform - Emphasis on Power Platform, Azure Data Services (SQL Server, Data Lake, DataVerse, etc)
Azure Architecture Certification Preferred
Experience working in an Agile environment preferred
Experience in relational and dimensional data modeling required
Experience in the Insurance industry and/or LOMA coursework preferred; FLMI certification a plus
Experience working in a multi-tier data delivery environment required
Knowledge, Skills and Abilities Required
Ability to lead, influence and modify behaviors on a team comprised of IT and Business partners in support of data strategy
Ability to work independently or as a part of team.
Knowledge of Enterprise Data, Data Warehousing, Azure Cloud Data platforms
Knowledge of structured data, such as entities, classes, hierarchies, relationships and metadata
Knowledge of database management system (DBMS) including tables, joins and SQL querying
Ability to combine data from multiple sources when needed for analysis
Familiarity with and ability to document the use cases, business purposes and quality of the data
Understanding of data quality concepts, best practices and tools, with strong experience with data analysis techniques
Strong analytical and problem-solving skills. Ability to quickly understand how various elements relate to one another, having an end-to-end perspective of decisions and anticipating issues/roadblocks.
