Capacity Engineer, Infrastructure Data Governance

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Governance Engineer to build and scale governance across infrastructure planning and supply chain data. You will define end-to-end governance, ownership, quality, and controls, enabling high-quality decisions and reliable operations at Meta scale.

You will translate governance needs into technical requirements, operating models, roadmaps, and measurable outcomes, working across data centers, infrastructure, planning, and finance teams to drive adoption and compliance.

Qualifications

• 8+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program leadership, or related field.
• Experience delivering technical programs or products from inception to launch across multiple teams.
• 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP.
• Experience defining metrics, data quality frameworks, or governance programs.

Responsibilities

• Own end-to-end governance for a major domain of critical infrastructure data, including intake and ownership.
• Develop and analyze manufacturing, logistics, and data to identify governance gaps and data defects.
• Establish operating mechanisms clarifying data ownership, stewardship, and audit trails.

Tools

Python

R

Java

C

C++

PHP

Job description

Meta is seeking a Data Governance Engineer to build and scale data governance across infrastructure planning and supply chain organizations and systems. This role will define and operate 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. The right candidate brings demonstrated technical judgment in evaluating tradeoffs across data systems, governance models, or infrastructure decisions, structured program leadership, clear written and verbal communication, including the ability to convey technical concepts, program status, and recommendations to diverse stakeholders, and the ability to influence partner teams and stakeholders across multiple infrastructure organizations without relying on authority.Capacity Engineer, Infrastructure Data Governance Responsibilities:Own the end-to-end governance process for a major domain of critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, decision rights, escalation paths, change management, and compliance monitoringDevelop and analyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisionsEstablish durable operating mechanisms that clarify data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, exception handling, and accountability across teamsDrive cross-team adoption of governance standards and work with partner teams to ensure compliance with agreed internal processes, quality bars, and operating rhythmsContribute to end to end supply chain processes, methodologies, and data to deliver an executable and optimized supply plan grounded in trustworthy inputsManage and resolve critical escalations and data exceptions across the supply chainIdentify technical dependencies, risks, sequencing constraints, rollout criteria, adoption blockers, and measurable success indicators across multiple teamsWork cross-functionally to define problem statements, collect data, build analytical models, and make recommendations that drive changeCommunicate program strategy, status, risks, decisions, compliance health, and impact clearly to technical teams, cross-functional partners, and stakeholdersCreate and maintain high-quality artifacts, including governance charters, technical program plans, roadmaps, ownership and RACI models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and leadership updatesImprove how Meta executes infrastructure data governance by simplifying processes, scaling repeatable patterns, and mentoring peers and cross-functional partnersMinimum Qualifications:8+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program leadership, or related fieldExperience delivering technical programs or products from inception to launch across multiple teamsPreferred 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, control health indicators, adoption measures, compliance dashboards, or review mechanisms for technical governance programsExperience in infrastructure operations and technical infrastructure knowledgeExperience interfacing with and establishing relationships with management at suppliers or customersExperience communicating and translating technical and non-technical requirements for cross-functional stakeholdersExperience working with cross-functional teamsExperience managing ambiguity, and a track record of learning new tools, domains, or methods to address evolving challengesExperience mentoring engineers and raising the quality of program executionExperience influencing partner teams across infrastructure, engineering, planning, supply chain, data center, networking, operations, analytics, and finance organizationsExperience working with distributed systems at scaleDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHPExperience with source-of-truth strategy, master data management practices, data quality frameworks, metric definitions, lineage, stewardship models, or data operating modelsExperience transforming business systems and models and achieving results relative to goals, including identifying opportunities to challenge existing approaches and proposing data-driven alternativesDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience driving programs across centralized platforms and federated business or infrastructure teams10+ years of technical, manufacturing operations, or technical program leadership 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].$184,000/year to $257,000/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.