Job Summary

• This role serves as the senior hands-on engineer within the Data Architecture & Solutions pillar, translating architecture strategy into scalable infrastructure and setting the code quality bar.
• Key responsibilities include architecting and building complex components of the enterprise data platform, leading the development of multi-client Databricks environments, and driving adoption of engineering standards.
• Benefits include medical, vision, and dental insurance, life insurance, disability insurance, 401k, flexible paid time off, paid holidays, sick leave, and parental leave.

Matching Summary

Salary

$113,000 - $160,000; Not specified; Medical, vision, and dental insurance, Life insurance, Short-term and long-term disability insurance, 401k, Flexible paid time off, At least 15 paid holidays per year, Paid sick and safe leave, Paid parental leave

Skills & Requirements

Key Requirements

• 8+ years data engineering experience
• 2+ years technical leadership or staff-level role
• Expert Databricks (Unity Catalog, Lakeflow, serverless)
• Advanced PySpark and Lakeflow Declarative Pipelines
• Strong Azure cloud infrastructure experience
• Data architecture knowledge (dimensional, data vault, medallion)
• Experience defining engineering standards
• Experience with data governance, security, compliance

Work Rights