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SGA Inc.

San Jose / Global

Platform/Data Architect - Databricks

Job Description

Platform/Data Architect - DPaaSSoftware Guidance & Assistance, Inc., (SGA), is searching for a Platform/Data Architect - DPaaS for a contract assignment with one of our premier SaaS clients in San Jose, CA. Also open to PST-based remote candidates. Start date: January 4th, 2027 Data Platform Strategy & Operations (AUP) seeks a contract Data/Platform Databricks Architect for temporary coverage during a planned parental leave. Backfills a Platform Architect on our DPaaS (Databricks-based) team, responsible for architectural continuity, unblocking in-flight initiatives, and acting as technical decision point during coverage. Fixed-term engagement, not permanent headcount.Responsibilities:Serve as architecture point of contact for DPaaS (Databricks + Unity Catalog) during coverage, maintaining continuity on in-flight decisions.Support and unblock the SQL Server-to-Databricks migration, incl. sequencing tied to the SAP HANA cloud (RISE) migration deadline.Apply and enforce the team's Databricks governance framework (5 pillars): duplicate-data prevention, environment segregation, compute selection, engineering standards, cost visibility.Review/advise on schema, pipeline, and compute design to prevent recurrence of known anti-patterns (e.g., duplicated department-level table copies).Partner with DevOps, DataOps, and platform support leads to keep architecture-dependent workstreams moving.Advise on open platform decisions (e.g., BI tooling, compute-tier questions); final calls remain with the permanent architecture lead and director.Document decisions, rationale, and open issues for smooth handoff back to the returning architect.Required Skills:Hands-on data/platform architect experience on Databricks, incl. Unity Catalog governance, at enterprise scale.Strong background in data platform migrations, ideally SQL Server-to-lakehouse or similar legacy-to-cloud.Solid grasp of data governance: environment segregation, compute cost management, engineering standards, duplicate-data prevention.Able to ramp quickly into an in-flight environment given the fixed-term engagement.Strong written communication for documenting decisions and a clean handoff.Hands-on Spark (PySpark or Scala) and Delta Lake for pipeline design, performance tuning, troubleshooting at production scale.Advanced SQL: query optimization and schema design across multi-schema, multi-workspace environments.Working knowledge of cloud infra under Databricks (Azure or AWS): networking, storage, access control.Experience with orchestration/CI-CD tooling for data pipelines (Databricks Workflows/Jobs, Airflow, Azure DevOps, or similar).Familiarity with Unity Catalog access controls, lineage, and metadata management, incl. auditability and least-privilege design.Understands Databricks compute cost drivers (cluster sizing, job vs. all-purpose compute, autoscaling) to advise on cost visibility.Experience integrating/migrating ERP-adjacent source systems (e.g., SAP/HANA) into a lakehouse architecture.Preferred Skills:Prior experience in a large enterprise data platform org spanning DevOps, DataOps, FinOps, and platform support.Familiarity with BI tool ecosystems (Power BI, Tableau) and platform rationalization efforts.Experience with SAP HANA or ERP-adjacent source systems a plus.
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