Senior Data Engineering Manager

Role Overview

• Set and execute the technical strategy aligned to measurable north star metrics such as increasing data evaluation velocity and reducing time to production for high-value data sources.
• Establish clear end-to-end ownership across the third-party and internal data lifecycle, eliminating fragmented workflows and implicit accountability.
• Accelerate third-party data onboarding by operationalizing standardized vendor intake, secure retro ingestion, templated integrations, and configurable microservices that reduce engineering lift and cycle time.
• Drive robust data quality and reconciliation frameworks, including retro vs. production checks, ingress-level monitoring, and drift detection to prevent launch issues and downstream model degradation.
• Unlock internal data for ML innovation by improving metadata coverage, lineage standards, ownership contracts, and ML discoverability across high-impact internal domains
• Champion a company-wide shift toward data contracts and SLAs, ensuring data producers adopt clear ownership, quality standards, and monitoring practices for ML-critical datasets.
• Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure, including standing up new dedicated integration capacity where needed.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 8 years of engineer experience, including at least 3 years of direct people management experience
• Proven experience building and scaling data platforms that support machine learning workflows (offline training and online inference).
• Demonstrated ownership of complex, cross-functional initiatives spanning engineering, ML, and business stakeholders.
• Experience designing and enforcing data quality frameworks, SLAs, and observability for production systems.
• Strong technical foundation in modern data stacks (e.g., Databricks/Spark, Python, SQL, AWS, streaming systems, orchestration frameworks) and distributed systems architecture.

Tech Stack

• AWS
• Distributed Systems
• Microservices
• Python
• Spark
• SQL

Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
• Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year
• Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees
• Affordable medical, dental, and vision coverage, with multiple plan options
• Upstart covers 90% to 100% of the cost depending on the plans you choose
• Health Savings Account contributions from Upstart for eligible plans
• Income protection benefits, including company-paid Basic Life, AD&D, and Short
• and Long-Term Disability coverage, with options to purchase supplemental coverage
• Paid time off, sick and safe time, and company holidays
• Paid family and parental leave to support caregiving and major life moments
• Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving
• Employee Assistance Program (EAP) offering mental health support and life-centered resources
• Financial wellness resources, including access to financial planning tools and a financial concierge service
• Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
• Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
• Connection and community through team events and onsites, all-company updates, and employee resource groups (ERGs)
• Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!).