ironquill.tech/board

$ cat jobs/tech-lead-data-foundations-linkedin3-6ea2e9d7ac80.json

Tech Lead, Data Foundations

Linkedin3·Worldwide·Sunnyvale, US·senior
Apply on smartrecruiters → Get AI match score →
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 exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in San Francisco. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We’re hiring a Data Foundations Lead to architect and scale the core data foundations that enable trusted Finance reporting, automation, and operational decisioning. This is a senior individual contributor role that combines deep data architecture and governance expertise with cross-functional leadership. 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. This is not a dashboard-only role. You will build the foundations that make all downstream reporting and automation reliable, auditable, and scalable. Responsibilities: 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