LinkedIn is looking for a Tech Lead, Data Foundations to architect and scale the core data infrastructure that enables trusted Finance reporting, automation, and operational decisioning. You will define the data operating model, build durable semantic and master data layers, and ensure quality, lineage, and controls are embedded end-to-end.
What You'll Do
- Own the data foundations strategy for Finance: Define the 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.
What We're Looking For
- 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.
Nice to Have
- Finance domain fluency: Experience building finance data platforms (GL, planning, close, cost centers, revenue, headcount).
- Master data governance: Experience with MDM domains and workflows; ERP/EPM familiarity (Oracle, SAP, etc.).
- Platform tooling: Experience with modern data stack tools (e.g., warehouse/lakehouse, transformation frameworks, catalog/lineage, CI/CD for data).
- Automation enablement: Experience providing governed data assets for automation and RPA programs.
- Executive communication: Ability to translate platform strategy into clear decisions, tradeoffs, and adoption plans.
Technical Stack
- SQL
- Modern data stack tools (warehouse/lakehouse, transformation frameworks, catalog/lineage, CI/CD for data)
- ERP/EPM (Oracle, SAP, etc.)
Benefits & Compensation
- Salary: $125,000 to $202,000
- Company culture built on trust, care, inclusion, and fun – where everyone can succeed.
- Committed to providing transformational opportunities for employees by investing in their growth.
Work Mode
This is a hybrid position based in San Francisco.
LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
