Manager, Data Engineering - Zoox

Job Title: Manager, Data Engineering
Job Location: Foster City, CA
Job Listing URL: https://jobs.lever.co/zoox/18acc595-0904-497c-8146-9889feff0437
Job Description: The Data team leverages data from our autonomous vehicles and operations to determine autonomy and service readiness. We provide the foundation for strategic decision-making at Zoox. You will develop and implement the next generation of our data pipeline to ensure visibility into our business as we scale toward the launch of an autonomous mobility service. You will define the system and build the pipeline to enable Zoox to develop and scale with a data-first culture.
You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry. Hence, we are seeking all skill levels to grow with the team.
In this role, you will:
Own foundational data artifacts for the business domain
Mentor, coach and advocate for direct reports
Design and build pipelines and data models to support analytics for business domain
Contribute to design of data architecture and data governance for the entire data platform
Define and execute on how high value key data asset is consumed to generate valuable insights by data scientists, engineers, and business users
Establish robust data integrity and quality monitoring so that company-wide metrics are based on accurate data
Partner with engineering and product teams to define data consumption patterns and establish best practices
Qualifications
Experience managing and growing teams of 5+ members
Demonstrated ability to prioritize development work and build cross-functional alignment
Good experience designing scalable and maintainable data pipelines
Expert level SQL and Data Modeling skill, strong experience in data warehousing and distributed processing framework
Strong data operations mindset and opinions on next-generation warehouse tools
Bonus Qualifications
Experience with Scala
Experience with workflow orchestration like Airflow, large scale streaming platforms like Kafka
Familiarity with or exposure to experimentation platforms

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