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Director of Data

rivianvw.tech · Palo Alto

Senior 🇬🇧 English
SQL Python Databricks Spark Kafka cloud data warehouses AI/LLM-assisted engineering tools

Job description

About the role

We are seeking a Director of Data to shape and execute our data strategy as we build software‑defined vehicles. This senior, hands‑on leadership position will guide architecture, code, and a high‑performing team that handles massive vehicle telemetry and enterprise data streams.

Key responsibilities

  • Define and drive the data roadmap across vehicle telemetry, manufacturing, and enterprise domains, aligning with engineering, product, and business stakeholders.
  • Own architecture decisions for large‑scale ingestion, storage, processing, and serving layers handling high‑volume streaming and batch data.
  • Stay technically involved: review designs, debug pipelines, and set coding standards by example.
  • Recruit, manage, mentor, and grow a team of data engineers and analytics professionals, overseeing hiring, performance, and career development.
  • Partner with quality, manufacturing, product, and software engineering teams to ensure data infrastructure meets reliability, safety, and analytics needs.
  • Establish data governance, quality, and security standards, ensuring compliance with regulatory and privacy requirements.
  • Provide stakeholder‑facing reporting on platform health, data quality, and roadmap delivery.
  • Evaluate and integrate modern tooling such as Databricks, Spark, Kafka, cloud data warehouses, and AI/LLM‑assisted engineering tools.
  • Manage budget, vendor, and tooling decisions for the data organization.

Required profile

  • 8–10 years of industry experience in data engineering or analytics, with at least 3 years leading high‑volume data teams.
  • Proven hands‑on expertise building and operating large‑scale data systems.
  • Strong collaboration skills with engineering, product, and business partners.

Required skills

  • SQL
  • Python
  • Databricks
  • Apache Spark
  • Apache Kafka
  • Cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
  • AI/LLM‑assisted engineering tools

Questions fréquentes

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Source : ats:ashby

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Published 1 month ago

Expires 2 weeks from now

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rivianvw.tech

Palo Alto