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Senior Engineering Manager - Machine Learning Data Enablement

1 hour, 34 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Spark AWS CI/CD Databricks Kubernetes Machine Learning Microservices Python SQL Terraform
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Upstart

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Description

  • Build and lead a high-performing team spanning data integration, data quality, metadata, and ML-critical data infrastructure for online inference and offline training.
  • Define and execute the technical strategy and operating roadmap aligned to metrics such as data evaluation velocity and time to production.
  • Drive data quality and reconciliation frameworks, including retro vs. production checks, monitoring, and drift detection.
  • Establish company-wide data contracts, SLAs, ownership, and monitoring practices for ML-critical datasets.
  • Own end-to-end workflows across third-party and internal data sources to eliminate fragmented processes and unclear accountability.
  • Accelerate third-party data onboarding through standardized vendor intake, secure ingestion, templated integrations, and configurable microservices.
  • Improve metadata coverage, lineage standards, ownership contracts, and ML discoverability for internal data assets.
  • Partner cross-functionally with ML, ML Platform, Procurement, Data Platform, and product engineering teams to deliver data initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience.
  • 8+ years of engineering experience, including at least 3 years of direct people management experience.
  • Experience owning production data pipelines that support both offline training and online inference.
  • Proven experience building and scaling data systems using Databricks/Spark, Python, SQL, AWS, streaming systems, and orchestration frameworks.
  • Experience with distributed systems architecture.
  • Demonstrated ownership of complex cross-functional initiatives involving engineering, ML, and business stakeholders.
  • Experience delivering under peer pushback and negotiating dependencies.
  • Experience designing and enforcing data quality frameworks and observability for production systems, including reconciliation, drift detection, and incident/postmortem loops.
  • 10+ years in data engineering and ML platform or ML data platform roles, with 5+ years managing engineering teams, preferred.
  • Experience with feature stores and real-time feature delivery or equivalent inference-time feature transformation interfaces, preferred.
  • Strong knowledge of lakehouse architecture and big data processing frameworks, preferred.
  • Familiarity with DevOps and infrastructure-as-code practices such as Kubernetes, Terraform, and CI/CD, preferred.
  • Experience in fintech or other regulated environments where explainability, auditability, and controls matter, preferred.
  • Ability to translate complex technical tradeoffs into business impact and influence cross-functional strategy, preferred.

Benefits

  • Anticipated base salary of $195,000 to $270,000 USD for U.S. remote roles.
  • Target bonuses and annual equity compensation.
  • Generous benefits package including medical, dental, vision, and 401(k).
  • 401(k) matching of $2 for every $1 contributed, up to $15,000 per year.
  • Employee Stock Purchase Plan with discounted stock purchase options for eligible employees.
  • Affordable medical, dental, and vision coverage, with Upstart covering 90% to 100% of plan costs depending on selection.
  • Health Savings Account contributions for eligible plans.
  • Paid time off, sick and safe time, and company holidays.
  • Paid family and parental leave.
  • Employee Assistance Program with mental health support and life-centered resources.
  • Annual wellness allowance and annual productivity allowance.
  • Financial wellness resources, including planning tools and concierge service.
  • Flexible digital-first work environment with remote work and office options.
  • Team events, onsites, all-company updates, ERGs, catered lunches, and stocked micro-kitchens at offices.

Interested in this position?

Apply directly on the company website

Apply Now

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