Senior Data Engineering Manager

📋 Description

• Set and execute tech strategy to boost data velocity and faster production.
• Establish end-to-end ownership across third-party and internal data lifecycle.
• Accelerate third-party data onboarding with standardized intake and templated integrations.
• Drive data quality, reconciliation, monitoring, and drift detection for ML data.
• Unlock internal data for ML by improving metadata, lineage, and discoverability.
• Champion data contracts and SLAs with clear ownership and quality standards.

🎯 Requirements

• Bachelor’s degree in CS/Engineering/Math + 8+ years engineering, incl. 3+ years leading.
• Experience building and scaling data platforms for ML workflows (offline training and online inference).
• Own cross-functional initiatives across engineering, ML, and business.
• Design/enforce data quality frameworks, SLAs, observability for production.
• Strong foundation in modern data stacks: Databricks, Spark, Python, SQL, AWS, streaming, orchestration.

🎁 Benefits

• Competitive compensation with base pay, bonus, and equity vesting.
• Generous 401(k) with Upstart match up to $15,000.
• ESPP with discounted stock options for eligible employees.
• Health, dental, and vision coverage with 90-100% employer coverage.
• Paid time off, sick leave, and company holidays.
• Family and parental leave to support caregiving.