Engineering Manager, DataHub

• This is a high-impact role for someone who thrives on technical complexity, scale, and cross-functional collaboration
• Success in this role requires a track record of managing across geographies, building high‑performing teams, and leading complex integration and pipeline work
• Proven experience leading engineering teams in data infrastructure, platform, ingestion, or integration-heavy environments
• Strong technical depth in distributed systems, cloud infrastructure, and scalable backend architecture
• Experience managing globally distributed teams across time zones
• Ability to work closely with founders, product, and cross-functional leaders
• Comfort balancing strategy, execution, customer issues, and team development
• Strong judgment, communication, and ownership

Desirable

• DataHub is building the enterprise context platform that makes AI agents reliable, accurate, and enterprise-ready
• We are the open source standard for metadata and context management, with a community of thousands of engineers and deployments at some of the world's most data-intensive companies, including Apple, Netflix, JP Morgan Chase, Warner Bros. Games, and Optum
• As we scale our business, we are looking for an Engineering Manager, Ingestion
• Reporting to: VP of Engineering
• Works closely with: Founders, Product, Engineering, and cross-functional leaders
• Ingestion is DataHub's front door - the core platform that pulls metadata from 100+ external systems (BigQuery, Microsoft Fabric, SageMaker, Tableau, and many more) into DataHub
• These ecosystems evolve quickly, so we need a leader who can set clear technical direction amid ambiguity and keep the platform scalable, reliable, and easy to extend
• You’ll lead a globally distributed team of 10-11 engineers across India, Europe, and the US West Coast
• You will own the strategy for our connector ecosystem
• In addition to your team you will work closely with the open source community and third parties on connector development
• Your work will directly determine how fast customers get value from DataHub
• Platform Architecture: Lead the evolution of our ingestion framework to handle high-throughput ingestion of structured and unstructured metadata at enterprise scale. Evolve the Remote Executor platform that lets ingestion run securely in customer environments.
• AI-driven time-to-Value: Spearhead the development of intelligent, agent-based solutions. Onboarding agents that speed up new customer ramp, and troubleshooting agents that enable self-service resolution of integration failures
• Cross team Partnership: Work with Product to set the strategy, and with Customer Support, Customer Success and Sales to resolve customer issues and improve stability
• Platform health: Drive down technical debt and invest in developer productivity and long-term reliability
• What success looks like:
• Expanded Reach: A broader, deeper connector ecosystem, built through internal engineering plus community and third-party contributions
• Reliability: Fewer failures and faster resolution through proactive investment in platform stability
• Execution velocity: Strong delivery without sacrificing team health or morale
• Why this role matters: Without Ingestion, DataHub's catalog doesn't stay complete, current, or useful. This team is what makes the platform's core promise real. DataHub is at an inflection point in a category that's becoming central to how enterprises build and govern AI, and this role has a rare chance to help shape how that category is understood by the market