Capacity Engineer, Infrastructure Data Governance

Meta; Seattle (WA); On-site; USD 219,000 - 301,000; Full time

Job summary

Meta seeks a senior Data Governance Engineer to orchestrate governance across infrastructure and supply chain data. You will define data ownership, quality metrics, and controls, building scalable software, models, and dashboards to measure health.

The role collaborates with planning, data centers, networking, finance, and analytics teams at Meta scale. You will translate governance needs into technical requirements, roadmaps, and measurable outcomes, leading cross-functional initiatives while

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field; equivalent practical experience.
• 10+ years in operations research, industrial engineering, supply chain management, or related field.
• Experience leading data governance or data management programs with end-to-end governance, ownership models, and compliance tracking.
• Experience delivering technical programs or products from inception to launch across multiple teams.

Responsibilities

• Own end-to-end governance for critical infrastructure data including intake, ownership, quality, review cadences, and compliance monitoring.
• Develop and analyze data to identify governance gaps and data defects that affect supply chain decisions.
• Establish operating mechanisms clarifying data ownership, stewardship, and audit trails across teams.
• Drive cross-team adoption of governance standards and ensure compliance with internal processes.

Skills

Data governance

Cross-functional leadership

Program management

Python

SQL

Education

Bachelor's degree in CS/Engineering

Masters/PhD in related field

Tools

Python

R

Java

C

C++

Job description

Summary:

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.

Required Skills:

Capacity Engineer, Infrastructure Data Governance Responsibilities:

1. 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

2. 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

3. Establish durable operating mechanisms that clarify data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, exception handling, and accountability across teams

4. Drive cross-team adoption of governance standards and work with partner teams to ensure compliance with agreed internal processes, quality bars, and operating rhythms

5. Contribute to end to end supply chain processes, methodologies, and data to deliver an executable and optimized supply plan grounded in trustworthy inputs

6. Manage and resolve critical escalations and data exceptions across all areas of the supply chain

7. Identify technical dependencies, risks, sequencing constraints, rollout criteria, adoption blockers, and measurable success indicators across multiple infrastructure organizations

8. Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations that drive change across infrastructure organizations

9. Communicate program strategy, status, risks, decisions, compliance health, and impact clearly to technical teams, cross-functional partners, and executive stakeholders

10. 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

11. Improve how Meta executes infrastructure data governance by simplifying processes, scaling repeatable patterns, and mentoring senior ICs and cross-functional partners

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 10+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program leadership, or related field

3. Experience leading data governance or data management programs, including establishing end-to-end governance processes, ownership models, standards, controls, adoption mechanisms, and compliance tracking

4. Experience delivering technical programs or products from inception to launch across multiple teams or organizations

Preferred Qualifications:

Preferred Qualifications:

1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

2. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Proven experience interfacing with and establishing relationships with management at suppliers or customers

5. Experience managing ambiguity, with a drive for continuous learning

6. Experience leading data governance programs in infrastructure, supply chain, data center, networking, capacity planning, logistics, finance, or similarly complex operational domains

7. 12+ years of technical, manufacturing operations, or technical program leadership experience in the hardware systems or infrastructure industry

8. Experience influencing senior leaders across infrastructure, engineering, planning, supply chain, data center, networking, operations, analytics, finance, and business organizations

9. Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders

10. Experience working with distributed systems at scale

11. Experience mentoring senior ICs and raising the quality of program execution across an organization

12. Experience transforming business systems and models and achieving results relative to goals, including questioning the norm and identifying non-obvious solutions

13. Experience driving programs across centralized platforms and federated business or infrastructure teams

14. 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

15. Experience defining metrics, control health indicators, adoption measures, compliance dashboards, or review mechanisms for technical governance programs

16. Experience defining source-of-truth strategy, master data management practices, data quality frameworks, metric definitions, lineage, stewardship models, or data operating models

17. 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP

18. Experience in infrastructure operations and technical infrastructure knowledge

19. Masters or Ph.D. degree in Operations Research, Industrial Engineering, Computer Science, or related technical field

Public Compensation:

$219,000/year to $301,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff… Meta does 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].