Capacity Engineer, Infrastructure Data Governance

Meta, Menlo Park, California

The role

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.

All jobs

Capacity Engineer, Infrastructure Data Governance

Meta, Menlo Park, California

Posted pay

$154K–$217K

a year

Compared with similar jobs

This base pay is below the median for infrastructure, platform and SRE jobs in the Bay Area with no level in the job title.

Median: $215K a year
Other jobs in the group: 645

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Menlo Park, California
Work type: Onsite
Level: Not given
Experience: 7+ years
Skills in the job text: Python
Java
C++
C
PHP
R
Posted: Sep 29, 2026
Last check: 5 days ago
Job type: Infra, platform & SRE

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The role

Nice to have

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 Experience defining metrics, dashboards, or review mechanisms for technical programs Demonstrated 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 knowledge Experience working with cross-functional teams Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders 2+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in infrastructure, supply chain, data center, networking, capacity planning, logistics, or finance operational domains Experience 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 capacity Experience working with partner teams across engineering, planning, supply chain, operations, analytics, and finance Experience questioning the norm and improving existing business systems and processes Masters degree in Operations Research, Industrial Engineering, Computer Science, or related technical field Familiarity with master data management practices, data quality frameworks, metric definitions, lineage, or stewardship models Experience working with distributed systems at scale Experience defining structure and next steps in loosely scoped problem spaces, and independently acquiring new domain knowledge to deliver results 7+ years of technical, manufacturing operations, or technical project management experience in the hardware systems or infrastructure industry

$154,000/year to $217,000/year + bonus + equity + benefits

Capacity Engineer, Infrastructure Data Governance

The role

Capacity Engineer, Infrastructure Data Governance

The role

What you will do

What you need

Nice to have

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