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Added 8 mins ago
Director of FP&A and Business Intelligence
goodr
Inglewood, CA
Lead company-wide budgeting, forecasting, and long-range planning of both revenue, demand, and expenses in collaboration with department leaders
Added 14 mins ago
Director, Full Stack Engineer
Capital One
Plano, TX
As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with…
Added 14 mins ago
Automation Principal Engineer
Wells Fargo
IRVING, TX · SAN ANTONIO, TX
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term,…
Added 14 mins ago
A
Principal Software Engineering
AT&T
Dallas, TX
- $174,100 to $261,100 USD / year
As a Principal Software Engineering, you will be a lead architect for AT&T's AI-powered tools, automation platforms, and Agentic AI ecosystem, responsible for building and scaling the…
Added 15 mins ago
Senior Machine Learning Engineer
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Houston, TX
Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI
Added 16 mins ago
FAST Labs - Optical Systems Senior Principal Scientist
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Austin, TX
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Added 16 mins ago
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Lead Software Engineer - Investment Platforms
Kforce
New York, NY
- $200,000 to $275,000 USD / year
A leading global investment management firm is seeking a Lead Software Engineer to help build and enhance critical investment and operational platforms used across multiple business lines.…
Added 16 mins ago
Cybersecurity Architect, Post-Quantum Cryptography (PQC)
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The Cybersecurity Architect, PQC will report into the Senior Cryptography Expert as part of CISOs Cryptographic Security Center of Excellence. The person in this position will be supporting…
Added 16 mins ago
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Added 16 mins ago
Senior Telecom Engineer
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Maximus is seeking an experienced Senior Telecom Engineer to lead the design, implementation, and optimization of Genesys Cloud solutions. This role is responsible for executing large-scale…
Added 16 mins ago
Senior Lead Engineer
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Fort Worth, TX · San Antonio, TX · Dallas, TX · Austin, TX · Houston, TX
As a Senior Lead Engineer you will lead custom application development and testing efforts that help clients turn business needs into scalable software solutions across cloud-native and…
Added 16 mins ago
Data Platform and Agentic Governance Lead, HR Technology
Meta
Austin, TX
Data Platform and Agentic Governance Lead, HR Technology Responsibilities:
Added 16 mins ago
Network Fiber Delivery Manager [Americas]
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Austin, TX
…backbone for AI data centers? Do you want the opportunity to lead a team working at the intersection of cutting-edge engineering and capital investments - driving clarity and execution…
Added 16 mins ago
Network Strategy & Data Analytics Lead
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…capacity. We are seeking a Network Strategy & Data Analytics Lead to develop digital infrastructure and terrestrial network strategies and drive investment recommendations. You will frame…
Added 16 mins ago
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Added 16 mins ago
Director, Spirits Portfolio Strategy
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…into action. Reporting directly to the General Manager, you’ll lead the implementation and institutionalization of the Brand-Market-Channel Combination (BMCC) operating model and investment…
Added 17 mins ago
Senior Engineer-AI & Full Stack Engineering Lead
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United States
…is accountable for end-to-end solution design and delivery. Lead the design, development, and delivery of scalable enterprise applications and AI-enabled solutions across multiple business…
Added 25 mins ago
Senior Analytical Data Scientist
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Reports to: Senior Principal Machine Learning Engineer
Added 32 mins ago
Staff Engineer, Databricks Platform
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We are seeking a hands-on Senior/Staff Data Platform Engineer to own and evolve our established Databricks platform on AWS. The platform supports mission-critical data, analytics, and AI…
Added 38 mins ago
Manager, Data Science
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San Carlos, CA
…care. As a Data Science Manager in R&D Operations, you will lead a team of data scientists to design and implement data solutions to accelerate R&D at Natera. You will take ownership of…
Added 41 mins ago
Senior Database Engineer
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The Senior Database Engineer at Bluestaq owns the data systems that move and protect information behind national security decisions - the schemas, pipelines, and datastores our enterprise…
Added 46 mins ago
IT Offensive Security Engineer III (Must Reside in Texas)
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Lead complex, multi-domain adversary-emulation campaigns targeting critical services, high-value assets, privileged identities, cloud control planes, applications, data, and software…
Added 46 mins ago
Sr Sales Incentive Compensation Analyst
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Added 47 mins ago
Senior Flight Test Engineer - Advanced Effects (Roadrunner)
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Added 48 mins ago
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Senior Software Engineer
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Chicago, IL
- $165,693 USD / year
Design and develop backend services using .NET (C#), Python, and SOL to support RCM workflows including billing, claims processing, and payment reconciliation.

Data Platform and Agentic Governance Lead, HR Technology

Austin, TX, United States

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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

Original job description

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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