Hiring: Director of Data Company: Rivian and Volkswagen Group Technologies Location: Palo Alto, CA Job Posted Time: 2026-09-10 11:57:08 Employment Type: Full-time Target Skills & Keywords : Data Warehouse, Databricks, ELT, ETL, Kafka, LLM, Python, SQL, Spark About the job Experience: •10 years of overall industry experience in data engineering or analytics, including 3+ years managing high-volume data engineering or analytics teams. Required Skills: •Define and drive the data strategy and roadmap across vehicle telemetry, manufacturing, and enterprise data domains, aligning with engineering, product, and business stakeholders. •Own architecture decisions for large-scale data platforms (ingestion, storage, processing, and serving layers) handling high-volume streaming and batch data. •Stay hands-on: review designs and code, dive into pipeline or performance issues, and set technical standards by example, not just by policy. •Recruit, manage, mentor, and grow a team of data engineers and analytics professionals; own hiring plans, performance management, and career development. •Partner with quality, manufacturing, product, and software engineering teams to ensure data infrastructure supports reliability, safety, and product analytics needs. •Establish data governance, quality, and security standards across pipelines and platforms, ensuring compliance with relevant regulatory and privacy requirements. •Build and maintain stakeholder-facing reporting on platform health, data quality, and delivery against roadmap commitments. •Evaluate and integrate modern tooling (e.g., Databricks, Spark, Kafka, cloud data warehouses, AI/LLM-assisted engineering tools) to keep the platform and team ahead of scale demands. Qualifications: •8–10 years of overall industry experience in data engineering or analytics, including 3+ years managing high-volume data engineering or analytics teams. •Demonstrated hands-on technical depth in building and operating large-scale data systems, proficiency in SQL and Python required, along with hands-on experience with Databricks required (additional experience with Spark or equivalent distributed data platforms a plus). •Track record of designing and scaling data architecture (ingestion, ETL/ELT, streaming, and storage) for high-volume, high-velocity data. •Strong cross-functional partnership skills and being comfortable working with engineering, product, quality, and manufacturing stakeholders to translate business needs into data infrastructure. •Bachelor's degree in Computer Science, Data Engineering, Electrical Engineering, or a related technical discipline; advanced degree a plus. •Operational familiarity with dashboard/BI tooling (HEX, Tableau, Power BI, or similar) for stakeholder reporting. Compensation: •$218,800 - $359,425 / year •Competitive benefits and rewards package •In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!