Tech Lead, Data Foundations
Posted on March 24, 2026 (2 months ago)
This job post is archived - the company is no longer hiring for this position.
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LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover opportunities, build necessary skills, and gain valuable insights every day. LinkedIn invests in employee growth and fosters a culture of trust, care, inclusion, and fun.
Job Description
This role will be based in San Francisco and the work model is hybrid (a mix of remote and in-office work determined by business needs). We are hiring a Data Foundations Lead to architect and scale core data foundations that enable trusted Finance reporting, automation, and operational decisioning. This senior individual contributor role combines deep data architecture and governance expertise with cross-functional leadership to define the data operating model, build semantic and master data layers, and ensure quality, lineage, and controls are embedded end-to-end.
Responsibilities
- Own the data foundations strategy for Finance: define architecture, standards, and roadmap for data models, semantic layers, and governance that power reporting and automation.
- Design and evolve governed metric and semantic layers: standardize definitions, implement reusable logic, and ensure consistency across dashboards, automations, and data products.
- Build and maintain high-trust data foundations: partner with Finance Technology and Engineering to develop curated datasets, lineage, and documentation that scale with the business.
- Embed quality, controls, and observability: define quality checks, reconciliation routines, monitoring, and escalation paths to prevent and catch data issues early.
- Drive master data rigor: align master data domains (cost centers, chart of accounts, suppliers, products) to governance standards that support finance workflows and analytics.
- Enable automation on trusted data: collaborate with automation teams to ensure workflows and RPA are powered by governed data assets with clear access and controls.
- Lead cross-functional execution: drive multi-team initiatives, manage dependencies, and set measurable success metrics and operating rhythms.
- Elevate decision-making: turn data foundations into executive-ready insights through clear narrative, transparency, and adoption enablement.
Qualifications
Basic Qualifications
- Bachelor’s degree in a quantitative or technical field (or equivalent practical experience).
- 6+ years in data foundations, analytics engineering, data governance, or related roles supporting business-critical stakeholders.
- 6+ years with advanced SQL and designing scalable data models and semantic layers.
- Demonstrated experience with data quality, lineage, documentation, and controls in production environments.
- Proven ability to align stakeholders across Finance, Engineering, and Finance Technology and deliver durable platforms.
Preferred Qualifications
- Finance domain fluency: experience building finance data platforms (GL, planning, close, cost centers, revenue, headcount).
- Master data governance experience and familiarity with ERP/EPM systems (Oracle, SAP, etc.).
- Experience with modern data stack tools (warehouse/lakehouse, transformation frameworks, catalog/lineage, CI/CD for data).
- Experience enabling automation and RPA programs with governed data assets.
- Strong executive communication: ability to translate platform strategy into clear decisions, tradeoffs, and adoption plans.
Suggested Skills
- Project Management
- Data Analysis
- Stakeholder Management
- Problem Solving
- Strategic Thinking
Compensation & Benefits
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is 125,000 to 202,000 USD. Actual compensation packages are based on factors unique to each candidate (skills, experience, certifications, and specific work location). Total compensation may include performance bonus, stock, benefits, and other incentive plans. For more information on benefits, candidates can visit LinkedIn careers.
Additional Information
LinkedIn is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities. Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider qualified applicants with arrest and conviction records. LinkedIn follows pay transparency requirements for federal contractors and provides a global data privacy notice for job candidates.
How to Apply
Apply via the LinkedIn job page by clicking the "Apply" button and following the on-screen instructions. You will need to sign in or create a LinkedIn account to submit your application.
Contact & Accommodations
If you need a reasonable accommodation to search for a job opening, apply, or participate in the interview process, contact [email protected] and describe the specific accommodation requested for a disability-related limitation. Compensation and benefits information is provided on LinkedIn’s careers pages.