Azure Databricks Architect

Location: Fully remote (must be based in Texas) Contract: Minimum 6 months, 40 hours per week (likely extension) A U.S.-based consulting firm is seeking an experienced Databricks Architect to support enterprise, client-facing data platform initiatives. This is a hands-on architecture and delivery role focused on modern lakehouse platforms and Databricks-led implementations. Responsibilities • Design and own Databricks-based lakehouse architectures (Medallion, Lambda, Kappa) • Lead data modeling, governance, security, and scalability decisions • Build and optimize Spark-based data pipelines using PySpark and Spark SQL • Define CI/CD patterns, ingestion strategies (batch and streaming), and observability standards • Act as technical lead for data engineering teams and perform architecture reviews Required Experience • Prior experience as a Data Architect or Lead Engineer on enterprise data platforms • Strong hands-on Databricks experience (Delta Lake, Unity Catalog, DLT, Structured Streaming) • Advanced Spark and PySpark expertise • Experience with cloud data platforms, ETL/ELT tooling, and CI/CD pipelines • Solid understanding of cloud security and data governance Note: Candidates must be based in Texas. Fully remote engagement.