Serve as deputy to the Data Workstream Lead and lead day-to-day technical architecture decisions. Define the secure Databricks lakehouse architecture, environments, workspaces, storage patterns, identity and access considerations, and Unity Catalog structure. Define canonical HR data models, domain boundaries, curated layers, semantic approaches, and reusable data-product standards. Establish DataOps, ingestion, transformation, orchestration, integration, API, and other consumption patterns. Develop the migration architecture, source-to-target design standards, metadata and lineage approach, and data-contract framework. Define architecture standards for security, privacy, quality, observability, performance, testing, deployment, and supportability. Review detailed models, mappings, pipelines, interfaces, and data products for conformance with the target architecture. Facilitate architecture decisions and communicate tradeoffs to technical teams, business stakeholders, and leadership. Mentor architects and engineers and provide technical quality assurance across Prepare, Stabilize, and Operationalize.
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Job Type
Full-time
Career Level
Senior