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Infrastructure Data Governance Engineer - Capacity Engineering

Meta· Engineering
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Menlo Park, CA$154k - $217kFull-timePosted 3w ago

About the role

Data Governance engineer role focused on building and operating governance across infrastructure planning and supply chain data. Implement end-to-end governance for data quality, ownership, controls, and adoption to enable high-quality decisions and scalable operations at Meta.

Responsibilities

  • Execute governance processes for critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, escalation paths, change management, and compliance monitoring
  • Analyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisions
  • Build and maintain operating mechanisms and tooling that support data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, and exception handling
  • Support cross-team adoption of governance standards and partner with teams to meet agreed processes and quality bars
  • Contribute to end to end supply chain processes, methodologies, and data to deliver an executable supply plan grounded in trustworthy inputs
  • Triage and resolve data escalations and exceptions in partnership with owning teams
  • Track dependencies, risks, rollout criteria, adoption blockers, and success indicators for governance workstreams
  • Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations
  • Communicate project status, risks, decisions, and compliance health clearly to technical teams and cross-functional partners
  • Create and maintain high-quality artifacts, including project plans, ownership models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and status updates
  • Improve how Meta executes infrastructure data governance by simplifying processes and scaling repeatable patterns

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program management, or related field
  • Experience with data quality, data management, or data governance practices such as ownership models, standards, controls, or compliance tracking
  • Experience delivering technical projects across more than one team

Skills

Required:Data governanceProject managementData qualityStakeholder communication

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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