Capacity Engineer, Infrastructure Data Governance

Meta Careers; Menlo Park (CA); On-site; USD 154,000 - 217,000; Full time

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Job summary

Meta is seeking a Data Governance engineer to build and operate governance across infrastructure planning and supply chain systems. You will translate governance needs into technical requirements, plans, milestones, and measurable outcomes to enable high‑quality decisions.

This cross‑functional role partners with infrastructure, planning, data science, analytics, finance, and operations to implement end‑to‑end governance, data quality, lineage, controls, and adoption, with artifacts, dashboards,

Job description

Meta is seeking a Data Governance engineer to help build and operate data governance across infrastructure planning and supply chain systems. This role will implement 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 turn defined governance needs into technical requirements, project plans, milestones, and measurable outcomes.This role is 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. The right candidate brings experience making technical decisions informed by data, system constraints, and stakeholder requirements, consistent delivery of scoped projects on time and within defined quality standards, experience communicating project status, risks, and decisions in writing and in meetings to technical and non-technical stakeholders, and the ability to work effectively with partner teams.Capacity Engineer, Infrastructure Data Governance Responsibilities:Execute governance processes for critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, escalation paths, change management, and compliance monitoringAnalyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisionsBuild and maintain operating mechanisms and tooling that support data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, and exception handlingSupport cross-team adoption of governance standards and partner with teams to meet agreed processes and quality barsContribute to end to end supply chain processes, methodologies, and data to deliver an executable supply plan grounded in trustworthy inputsTriage and resolve data escalations and exceptions in partnership with owning teamsTrack dependencies, risks, rollout criteria, adoption blockers, and success indicators for governance workstreamsWork cross-functionally to define problem statements, collect data, build analytical models, and make recommendationsCommunicate project status, risks, decisions, and compliance health clearly to technical teams and cross-functional partnersCreate and maintain high-quality artifacts, including project plans, ownership models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and status updatesImprove how Meta executes infrastructure data governance by simplifying processes and scaling repeatable patternsMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience5+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program management, or related fieldExperience with data quality, data management, or data governance practices such as ownership models, standards, controls, or compliance trackingExperience delivering technical projects across more than one teamPreferred 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 technologiesExperience defining metrics, dashboards, or review mechanisms for technical programsDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience in infrastructure operations and technical infrastructure knowledgeExperience working with cross-functional teamsExperience communicating and translating technical and non-technical requirements for cross-functional stakeholders2+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHPDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience in infrastructure, supply chain, data center, networking, capacity planning, logistics, or finance operational domainsExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)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 capacityExperience working with partner teams across engineering, planning, supply chain, operations, analytics, and financeExperience questioning the norm and improving existing business systems and processesMasters degree in Operations Research, Industrial Engineering, Computer Science, or related technical fieldFamiliarity with master data management practices, data quality frameworks, metric definitions, lineage, or stewardship modelsExperience working with distributed systems at scaleExperience defining structure and next steps in loosely scoped problem spaces, and independently acquiring new domain knowledge to deliver results7+ years of technical, manufacturing operations, or technical project management experience in the hardware systems or infrastructure industryAbout 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.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$154,000/year to $217,000/year + bonus + equity + benefitsIndividual 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, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.