Data Platform Engineering Lead

• Own the technical roadmap for the data platform, balancing near-term delivery against long-term scalability.
• Develop analytics and data accessibility solutions for internal engineering teams and external stakeholders.
• Set a high bar of technical excellence for data quality, validation, governance, and observability across the data lifecycle.
• Mentor and grow a team of analytics engineers and data engineers.

By building a robust data platform for autonomous transit, this role directly enables affordable, accessible, and sustainable public transportation, reducing environmental impact and connecting communities to opportunity.

• Degree in Computer Science, Analytics, Engineering or a related field.
• Management experience building and leading engineering teams.
• Extensive experience building and operating production data platforms with technical ownership over major systems.
• Proficiency with big data technologies (Spark, Hadoop, Hive, dbt), workflow orchestration (Airflow, Argo Workflows), cloud platforms (AWS, Azure, GCP), and expertise in Python, Shell, SQL, Git, and configuration languages (YAML, CUE).

Compensation and perks not specified in the posting.

Glydways is reimagining public transit with a carbon-neutral network of autonomous vehicles on dedicated roadways, aiming to make mobility accessible, affordable, and sustainable for all.