Summary
The Enterprise Data Architect is responsible for aligning the future state data architecture with enterprise strategic goals and objectives. This role collaborates with Data & Analytics leadership and staff, Technology division partners, and subject matter experts from cross-functional business areas to define standardized data policies and procedures and ensure that data management, integrations, and models, are optimized to support a data driven organization. This position will understand the needs of the business and champion enterprise data architecture and modeling that will support execution. This role will collaborate across the organization to ensure alignment across the longitudinal evolution of capturing data to creating actionable insights into the enterprise architecture.
Duties
Establishes policies and procedures for enterprise data architecture including policies for standardizing data systems and data software across the enterprise.
Acts as technical mentor for members of the Data & Analytics division, providing input and feedback to others. Review business requirements documentation, technical design documentation, data flow documentation, and participate in peer review cycles with technical & non-technical counterparts.
Establishes and maintains documentation of programs, user guides, policies, data flow documentation, and procedures, particularly in support of the acceptance of solutions as credible to non-technical users of information.
Collaborates with Analysts, Developers, Engineers, Data Architects, BI Developers, and Data Scientists in the development and integration of data, insights, and solutions within the purview of the Data & Analytics division.
Provides oversight, input, design, and implementation support for new solution development, including but not limited to new data platforms, primary & secondary storage environments, business intelligence solutions, Service Orientation Architecture (SOA), etc.
Evaluates existing applications and systems and recommends improvements, modifications, and opportunities for innovation.
Responsible for creating and maintaining the catalog of architectural diagrams used by the team.
Support the enablement of Data Governance program, including guidance, stewardship, and frameworks for managing data across the organization and identify opportunities for data reuse, migration, or decommission.
Recommends training in new technologies to keep the GEHA development staff on the cutting edge.
Encourage and support a self-service architecture to promote a trusted source of distributed analytic capabilities and insights, leading the enterprise in its goal to be an insight-driven organization.
Education Requirements
Requires a bachelor's degree from an accredited college/university in a data, technical, or computer systems related discipline.
Master's Degree Computer Science, Informatics, Information Systems, or another quantitative field Preferred
Experience Requirements
Requires at least 12 years of experience in Enterprise Data & Analytics, including Data Management (Master Data management, Reference Data Management, Data Quality), Data Warehouse, and Business Intelligence disciplines
At least 7 years of experience in data warehousing platforms/tools (Data Models, ETL/ELT solutions)
At least 2 years of experience working with at least one of the public cloud platforms, Azure preferred.
Strong experience in on prem (SQL Server) and Cloud data tools (Azure preferred)
Solid experience and understanding of ESB/ETL tools such SQL Server Integration Services (SSIS), Azure Data Factory, Data bricks, and Snowflake. Experience in supporting API integrations preferred.
Extensive experience in dimensional data modeling, such as star schemas, snowflake, normalized and de-normalized models, handling slow-changing dimensions/attributes.