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JR
Senior AI Product Engineer
Just Right Reader
United States
- $180,000 to $200,000 USD / year
Strong PostgreSQL. Query design and optimization, schema and data modeling, and enough experience to know when the ORM is helping and when you should write the SQL yourself. A fair amount…
Added 7 mins ago
FE
EBA Strategy & Transformation Principal
Federal Express Corporation
Remote, United States
- $11,766.26 to $20,872.33 USD / month
Incorporate customer-centric and user-centric design principles into transformation initiatives to improve business processes and employee experiences.
Added 10 mins ago
P
Senior Foundry Integration Engineer
Photonic
Remote, United States
- $126,200 to $173,500 USD / year
Design experiments, analyze fabrication and measurement results, and synthesize data into clear technical conclusions.
Added 15 mins ago
UO
Research Services Program Manager
University of Colorado Denver
Aurora, CO
- $31,533 USD / year
Lead feasibility assessments and develop data-driven recruitment and retention strategies; design, implement, and evaluate innovative approaches to optimize study enrollment and participant…
Added 15 mins ago
UO
Laboratory Research Professional, Open Rank (Intermediate-Principal)
University of Colorado Denver
Aurora, CO
- $31,533 USD / year
…be the research lead for several ongoing projects, including design of experimental setup, data generation, and data…
Added 21 mins ago
Senior Medical Writer
Fishawack Health
Philadelphia, PA
Develops clear, concise outlines, on-target first drafts, and proactively incorporates data/revisions
Added 24 mins ago
Critical Infrastructure Engineer (MF1)
ManpowerGroup
Marshfield, MO
Provide full lifecycle engineering support for mission-critical facilities from design inception through construction, commissioning, operation, and ongoing maintenance.
Added 24 mins ago
Cybersecurity – Senior Information System Security Manager (ISSM) **Sign on Bonus Potential**
The Boeing Company
Berkeley, MO
Assists in design and implementation of scalable, secure, and efficient cloud-based architectures that align with business objectives and enhance operational capabilities
Added 24 mins ago
Senior Product Support Integrator
The Boeing Company
Hazelwood, MO
…planning, sustainment engineering, support equipment, technical data, and lifecycle readiness for development…
Added 24 mins ago
Sales Operations Analyst
Qnity
Chesterfield, MO
…strong focus on sales forecasting, sales performance analysis, data accuracy, and operational effectiveness…
Added 24 mins ago
Scientist I - ADME Tox
Eurofins US Network
Saint Charles, MO
Perform data and report QC review within the department and may support the Study Director.
Added 25 mins ago
Forward Deployed Software Engineer-Palantir Foundry-Experienced Associate
PwC
Kansas City, MO · St. Louis, MO
…Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business…
Added 25 mins ago
EG
Databricks Data Engineer
Eliassen Group
Jefferson City, MO
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 25 mins ago
EG
Product Manager, Team Digital Products
Eliassen Group
Jefferson City, MO
- $50 to $55 USD / hour
Partner closely with engineering, design, QA, data, content, marketing, and other teams to deliver digital enhancements from concept through launch.
Added 43 mins ago
Equipment Specialist (Electronic)
Library of Congress
Washington, DC
…including volunteers, regional repair facilities, etc. Analyze data from network agencies to identify areas with device repair problems and makes recommendations to the Program Delivery…
Added 43 mins ago
Management & Program Analyst
Veterans Affairs, Veterans Health Administration
Washington, DC
…improvements. Perform complex analysis duties related to the innovative design, implementation, and maintenance of information systems and technical assessment to enhance system…
Added 43 mins ago
Director, US Policy (MedTech) - Johnson & Johnson
J&J Family of Companies
Washington, DC
…and medical device products, insurance coverage and benefit design including Medicare, Medicaid, the ACA, payment and health care delivery system reform, value assessment and the regulation…
Added 43 mins ago
Naval Architect
ManTech International
Washington, DC
Ability to utilize spreadsheets to program first-principle and empirical design equations. Ability to generate high-quality design and analysis reports as well as the ability to interpret…
Added 43 mins ago
EG
Databricks Data Engineer
Eliassen Group
Washington, DC
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 43 mins ago
EG
Product Manager, Team Digital Products
Eliassen Group
Washington, DC
- $50 to $55 USD / hour
Partner closely with engineering, design, QA, data, content, marketing, and other teams to deliver digital enhancements from concept through launch.
Added 43 mins ago
Cross Domain Network Engineer, Lead
BOOZ, ALLEN & HAMILTON, INC.
Washington, DC
A well-designed network is critical to move data and enable the DoD to achieve their mission, but how can an organization make sure their network will fit their current and evolving needs?…
Added 51 mins ago
Senior Data Scientist, Product Analytics
Xometry
Lexington, KY
Xometry is looking for a highly analytical and data-driven Senior Data Scientist (Product Analytics) with statistical skills and a passion for data to drive improvements in technology. This…
Added 52 mins ago
Platform Product Manager
Navitus Health Services
Frankfort, KY
…products and solutions. The portfolio includes claims processing, data and analytics, integration and APIs, clinical enablement, automation, and client-facing platform capabilities. This…
Added 52 mins ago
Manager, Web Platform Owner
KPMG
Louisville, KY
Partner with Creative, Web and Content teams to establish common platform capabilities, including content management, design systems, shared components, search, analytics, identity,…
Added 52 mins ago
Government Healthcare Actuarial Lead
Marsh & McLennan Companies, Inc.
Louisville, KY
Lead a team that of actuaries, actuarial and data analysts, clinicians and health policy consultants supporting multiple large, complex capitation rate-setting and other actuarial projects

Closed listing

Data Platform and Agentic Governance Lead, HR Technology

Austin, TX, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 12+ years of experience in data platform, data architecture, data governance, or data engineering
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

Summary:

HR Tech Data & Insights builds the governed data foundation that Meta's People organization runs on - the certified datasets, semantic models, and data products that People Ops, People@, Payroll, business partners, and AI agents rely on to answer questions and make decisions. Meta is converging its enterprise data onto the Databricks Lakehouse, and people data is one of the most consequential and most constrained workloads in that program. We are hiring a Data Platform & Governance Lead to own the technical layer of our People Data strategy: the Databricks architecture, the semantic layer, the governance standards, and the paved road every other team builds on. This is a senior technical ownership and influence role - the ideal candidate pairs deep Databricks and Spark expertise with demonstrated governance experience that sensitive people data demands, and can present a technical strategy to executive stakeholders and diagnose query performance issues with equal depth.

Required Skills:

Data Platform and Agentic Governance Lead, HR Technology Responsibilities:

Own the technical layer of the People Operations Data strategy. Set and enforce the platform, semantic, and governance standards that every HR Tech and People@ data domain is built on in the Databricks Lakehouse
Provide technical oversight of the Databricks implementation for people data - ingestion patterns from Workday, HR service operations, and vendor feeds
Delta modeling and medallion layering
Spark declarative pipelines
and materialization strategy. You set the patterns
you do not have to write every pipeline
Own governance in Unity Catalog. Design catalog and schema structure, table ACLs, row filters, and column masks so sensitive people data is protected by policy as code in the data layer rather than by convention
Own the semantic layer & Knowledge graph. Define certified datasets, actively develop knowledge graph nodes, metric definitions, and governed data products so that Immigration, payroll and ops numbers mean one thing across People Ops - and so analysts, dashboards, and AI agents all resolve to the same source of truth
Set and enforce data governance standards: metadata and documentation, glossary and metric coverage, data ownership and pipeline SLAs, schema and naming conventions, certification tiers, and access controls
Manage Agent & Data platform integrity: drive ontology-driven extraction, semantic retrieval, and governed metadata that AI assistants can trust
Own data quality, process monitoring and observability - monitoring, tiered alerting, lineage and impact analysis, data-quality expectations, and automated remediation. Treat lineage as the compliance record we can show an auditor
Represent the strategy with senior leaders. Frame technical tradeoffs in business terms in forums with Director and VP stakeholders across People Ops, Enterprise Engineering, Legal, and Privacy - driving decisions and building peer-level credibility
Lead the migration off the legacy stack. Sequence consolidation off Hive/Presto and bespoke pipelines onto governed Databricks data products, without breaking consumers mid-flight
Drive prioritization and execution across partner teams outside your direct reporting line, translating business outcomes into a sequenced technical roadmap
Own a live, cross-domain view of delivery - milestones, owners, dependencies, status - and connect it to an evidence-backed narrative of business impact for People Ops stakeholders
Make AI on people ops data trustworthy. Ensure the accuracy and effectiveness of AI agents and analytics tools built on people data, including evaluation datasets, accuracy measurement, and sustained quality benchmarks - with identity propagated end to end so agents run as the human
Build capability and raise the bar. Mentor analytics and engineering partners on platform and governance fundamentals, lead design reviews and architecture decision records, and partner closely with the core data engineering and Databricks platform teams
Exercise conservative judgment with sensitive and privileged people data - including access-control and privilege-level, privacy, and data-classification considerations - and identify risk in others' designs

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
12+ years of experience in data platform, data architecture, data governance, or data engineering
Deep hands-on experience and Databricks certifications - deep hands-on depth across Unity Catalog, Delta Lake, Spark declarative pipelines, and Databricks SQL
Apache Spark expertise, including performance diagnosis and optimization in production, including performance diagnosis and optimization in production
Experience owning a data platform or data governance domain end to end at enterprise scale - you set the standards others followed
Hands-on experience with modern data stacks: distributed warehouses and lakehouse architectures, pipeline orchestration and reliability, semantic/metrics layers, BI and self-service platforms, and data quality tooling
Demonstrated experience defining a semantic or metrics layer and driving adoption of certified definitions across an organization
Proven experience designing fine-grained data access controls (table ACLs, row-level filters, column masking) for confidential or regulated data
Advanced SQL proficiency and working Python experience sufficient to build and debug data pipelines
Experience influencing senior leadership on technical strategy, including presenting to and driving decisions with executive stakeholders
Experience driving execution across cross-functional teams outside of direct reporting lines
Experience defining measurable milestones and communicating delivery progress and business impact to non-technical stakeholders
Experience leading a platform migration or consolidation with live stakeholders and no acceptable downtime
Demonstrated judgment handling highly confidential, privileged, or regulated data

Preferred Qualifications:

Experience with HR/people data domains and their systems of record - Workday, Immigration, payroll, benefits, equity, HR case management - or a comparable regulated environment with audit and controls requirements
Experience integrating enterprise third-party systems (HCM/payroll, ERP, vendor data feeds)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with dbt, Airflow, or similar transformation and orchestration tooling
Demonstrated track record mentoring and growing technical talent across experience levels
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with Delta Sharing or equivalent zero-copy sharing to avoid ETL and file handoffs with third parties
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Familiarity with Meta's internal data stack (Hive, Presto, real-time analytics tools, Configerator, workflow orchestration tools) and the work of migrating off it
Experience building the governed data and evaluation foundations that AI or LLM-based tools depend on, including accuracy measurement
Experience with FinOps and cost attribution for cloud data platforms
Experience with streaming and near-real-time ingestion (Kafka, Flink, Structured Streaming, CDC) and knowing when not to use it
Experience with config-driven data onboarding platforms and infrastructure-as-code patterns
Experience operating amid ambiguity and in-flight roadmaps, converting uncertainty into decision frameworks

Public Compensation:

$151,000/year to $213,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 accommodations-ext@meta.com.

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