Lead Data Engineer

Your day-to-day activities:

• Leadership Skills: 7+ Years of experience leading teams and having ownership of analytics roadmaps, vision execution, communications, and plan execution.
• Ingestion Management: Build and maintain ELT pipelines using Airbyte or Fivetran across APIs, files, and application databases.
• Proactive Testing: Implement comprehensive unit and integration tests (dbt tests, freshness checks) for every pipeline.
• Medallion Implementation: Build and maintain the Bronze (Raw) and Silver (Cleaned) layers on Snowflake using strict data quality gates.
• Cross-Functional Delivery: Support the creation of Gold-layer Star Schemas and reporting models when capacity requires.
• EDW Foundation: Collaborate with the Architect to build the foundational tables that support downstream analysis and the Semantic Layer.
• Legacy Translation: Interpret legacy scripts to migrate logic into the new stack with verified parity.
• As a Senior team member, you will be expected to actively participate in our hiring processes by serving on interview panels for future roles across the company.

You’re a perfect match if you have:

• Engineering Foundation: Strong background in data engineering with software engineering principles within Azure (Version control, CI/CD).
• Technical Stack: Expert proficiency in SQL, Snowflake, and dbt.
• Ingestion Tools: Experience with modern ELT tools like Airbyte or Fivetran.
• Hybrid Modeling Skills: Proficiency in building both technical foundation tables and end-user Star Schemas. Familiarity with Medallion Architecture.
• Data Quality: Experience with proactive testing; preference for candidates with TDD experience.