Senior Databricks Data Engineer - Contract-to-Hire

We are seeking a Senior Databricks Data Engineer to provide technical leadership on a major data platform transformation initiative. This role will lead and execute the migration of a large-scale Microsoft SQL Server data warehouse ecosystem—including SSIS, SSAS, and SSRS—onto the Databricks Lakehouse Platform. The ideal candidate combines deep hands-on data engineering expertise with architectural thinking and mentorship capabilities.

Key Responsibilities

• Lead the design and implementation of enterprise-scale data pipelines on Databricks.
• Serve as a technical lead for the migration of a ~20TB SQL Server data warehouse to Databricks.
• Architect migration strategies for hundreds of tables, thousands of SSIS jobs, and complex reporting workloads.
• Redesign legacy ETL and cube-based architectures into modern Lakehouse patterns.
• Define data modeling standards, ingestion frameworks, and transformation best practices.
• Optimize Spark workloads for performance, scalability, and cost efficiency.
• Mentor and guide data engineers across multiple experience levels.
• Partner with BI, analytics, and AI/ML teams to enable advanced analytics use cases.
• Implement data governance, security, lineage, and monitoring using Unity Catalog and platform tooling.
• Translate business requirements into scalable technical solutions.
• Influence platform roadmap, engineering standards, and architectural decisions.