Capacity Engineer, Infrastructure Data Governance

Skip to main content

Jobs

Teams

Career Programs

Working at Meta

Blog

Podcasts

Jobs

Capacity Engineer, Infrastructure Data Governance

Capacity Engineer, Infrastructure Data Governance

Bellevue, WA +2 locations

Engineering

+ 1 more

Apply now

Meta is seeking a Data Governance Engineer to establish and lead data governance across infrastructure planning and supply chain organizations and systems. This role will define how critical infrastructure data is governed end to end, from intake and ownership through quality, controls, and adoption, so teams can make high-quality decisions, operate efficiently, and execute reliably at Meta scale.

We will do this primarily by building software, mathematical models, and automated tracking of key performance metrics that make data quality, lineage, and control health measurable rather than aspirational. You will translate ambiguous governance needs into clear technical requirements, operating models, roadmaps, milestones, and measurable outcomes.

This role is very cross-functional and provides an opportunity to work with supply chain partners, infrastructure engineering, planning, data center, networking, data science, analytics, finance, and operations teams to power the rapid growth of Meta's products. This is a senior individual-contributor role.

This role requires demonstrated technical judgment, structured program leadership, clear and concise written and verbal communication, and the ability to influence leaders across multiple infrastructure organizations without relying on authority.

Capacity Engineer, Infrastructure Data Governance Responsibilities

• Own the end-to-end governance process for critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, decision rights, escalation paths, change management, and compliance monitoring
• Develop and analyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisions
• Establish durable operating mechanisms that clarify data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, exception handling, and accountability across teams
• Drive cross-team adoption of governance standards and work with partner teams to ensure compliance with agreed internal processes, quality bars, and operating rhythms
• Contribute to end to end supply chain processes, methodologies, and data to deliver an executable and optimized supply plan grounded in trustworthy inputs
• Manage and resolve critical escalations and data exceptions across all areas of the supply chain
• Identify technical dependencies, risks, sequencing constraints, rollout criteria, adoption blockers, and measurable success indicators across multiple infrastructure organizations
• Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations that drive change across infrastructure organizations
• Communicate program strategy, status, risks, decisions, compliance health, and impact clearly to technical teams, cross-functional partners, and executive stakeholders
• Create and maintain high-quality artifacts, including governance charters, technical program plans, cross-org roadmaps, ownership and RACI models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and executive updates
• Improve how Meta executes infrastructure data governance by simplifying processes, scaling repeatable patterns, and mentoring senior ICs and cross-functional partners

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program leadership, or related field
• Experience leading data governance or data management programs, including establishing end-to-end governance processes, ownership models, standards, controls, adoption mechanisms, and compliance tracking
• Experience delivering technical programs or products from inception to launch across multiple teams or organizations

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Proven experience interfacing with and establishing relationships with management at suppliers or customers
• Experience managing ambiguity, with a drive for continuous learning
• Experience leading data governance programs in infrastructure, supply chain, data center, networking, capacity planning, logistics, finance, or similarly complex operational domains
• 12+ years of technical, manufacturing operations, or technical program leadership experience in the hardware systems or infrastructure industry
• Experience influencing senior leaders across infrastructure, engineering, planning, supply chain, data center, networking, operations, analytics, finance, and business organizations
• Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders
• Experience working with distributed systems at scale
• Experience mentoring senior ICs and raising the quality of program execution across an organization
• Experience transforming business systems and models and achieving results relative to goals, including questioning the norm and identifying non-obvious solutions
• Experience driving programs across centralized platforms and federated business or infrastructure teams
• Technical understanding of infrastructure data domains, such as demand planning, capacity planning, inventory, sourcing, procurement, logistics, deployment, data center operations, networking, asset lifecycle, or service capacity
• Experience defining metrics, control health indicators, adoption measures, compliance dashboards, or review mechanisms for technical governance programs
• Experience defining source-of-truth strategy, master data management practices, data quality frameworks, metric definitions, lineage, stewardship models, or data operating models
• 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
• Experience in infrastructure operations and technical infrastructure knowledge
• Masters or Ph.D. degree in Operations Research, Industrial Engineering, Computer Science, or related technical field

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

United States of America: $219,000/year to $301,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives,