Lead IT Architect (remote)

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.