Founding Data Engineer

Job Description Staff Data Engineer (Founding Team)Location: San Francisco (In-office)Compensation: $180,000 – $270,000 + meaningful equityStart Date: ImmediateAbout the CompanyWe have partnered with an elite team in SF building an AI-native platform that acts as an operating layer for modern organizations, helping leaders understand how their business actually runs, and where to optimize, automate, or restructure.They are early, well-funded by top-tier investors, and already live with high-profile customers across enterprise, government, and private markets.ExperienceWe are looking for a Staff Data Engineer to build their data platform from the ground up.This is a founding-level role, you'll define the architecture, tooling, and standards that power everything from internal analytics to customer-facing intelligence and AI systems.You'll work directly with the founders, engineers, and customers to design and deploy scalable data systems that ingest, normalize, and activate complex enterprise data.ResponsibilitiesOwn and build the end-to-end data platform (0→1) — ingestion, transformation, modeling, and servingDesign and scale robust ETL/ELT pipelines across multiple enterprise data sources (HRIS, ERP, CRM, etc.)Architect data models and semantic layers that power analytics, product features, and AI systemsImplement orchestration frameworks (e.g. Airflow, Dagster) for reliable, observable pipelinesBuild and optimize large-scale data processing systems (batch + streaming where needed)Partner closely with engineering and product to embed data into core product workflowsWork directly with customers to map, ingest, and operationalize messy real-world data systemsEstablish best practices around data quality, testing, governance, and observabilityContribute to AI/ML pipelines (e.g. RAG, embeddings, feature pipelines) where relevantTech Stack (Current & Evolving)Python • SQL • dbt • Airflow / Dagster • Snowflake / Postgres • AWS (S3, ECS, RDS) • Docker • TerraformWhy JoinTrue founding-level ownership over the data platformWork on a high-impact product already in production with real customersOperate at the intersection of data, AI, and enterprise systemsSmall, elite team; high talent density, no passengersMeaningful equity and the chance to shape the company from the ground upWe are looking to arrange interviews ASAP so please send across your resume and we can discuss further.