Senior Data Engineering Manager, Upstart

• 8+ years of experience in Data Engineering, or Data Platform development, with at least 3 years in people management
• Strong technical foundation in SQL, Python, and modern data platforms (Databricks, Spark, Kafka, Alation, Airflow, dbt, cloud data warehouses)
• Experience with data curation and governance practices, including metadata management, data catalogs, and access control
• Hands-on experience applying AI/LLM technologies to data management, discovery, or automation use cases (e.g., automated metadata generation, natural language data discovery, or agentic AI integrations)
• Proven ability to define roadmaps, drive technical execution, and deliver business impact through data infrastructure
• Excellent stakeholder management, communication, and collaboration skills
• Demonstrated track record of mentoring and developing engineers while fostering an inclusive, high-performance culture

Desirable

• The Data Curation team, part of Upstart’s Data Platform Engineering organization, builds and operates tools, frameworks, and scalable data infrastructure that ensure data is discoverable, trustworthy, and actionable across the company
• This team’s mission is to empower Data Analysts, Data Scientists, Machine Learning Engineers, and Software Engineers with high-quality data products and developer tools that make it easy to transform, govern, and operationalize data
• We are seeking a Senior Manager to lead the Data Curation team
• You will shape the team’s strategy, oversee technical direction, grow and mentor engineers, and ensure that Upstart’s data foundation is robust, user-friendly, and scalable
• Lead and Grow the Team: Recruit, develop, and manage a high-performing team of data platform engineers focused on data curation, governance, and developer tooling
• Set the Vision: Define and execute the strategic roadmap for data curation, including metadata management, cataloging, self-serve ETL frameworks, and data quality initiatives
• Deliver Business Value: Ensure delivery of tools and frameworks that enable stakeholders across analytics, ML, and product teams to discover, transform, and operationalize data efficiently
• Foster Cross-Functional Partnerships: Collaborate with Analytics, Machine Learning, Finance, and Product Engineering to align priorities and integrate data platform capabilities into broader company objectives
• Elevate Standards: Establish best practices for platform reliability, observability, documentation, governance, and security. Drive adoption of these standards across the organization
• Stay Ahead of the Curve: Monitor emerging technologies and industry best practices to keep Upstart’s data ecosystem modern, scalable, and developer-friendly