Sr. Data Architect

Accountabilities:

• Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
• Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
• Create unit and stress-test components to monitor technical performance.

Requirements:

• 7+ years of experience in data engineering within a production environment.
• 5+ years of programming experience in Python.
• 5+ years in big data ecosystems with a focus on Spark; PySpark preferred.

Benefits:

• Bonus program and equity plans.
• 401(k) plan with company matching.
• 100% medical/dental/vision coverage.
• Unlimited employee PTO.