Role Overview
Glydways is hiring a Data Platform Engineering Lead. This is a full-time remote role, with the team based in Remote. posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
Who we are:
Glydways is reimagining what public transit can be. We believe that mobility is the gateway to opportunity—connecting people to housing, education, employment, commerce, and care. By making transportation more accessible, affordable, and sustainable, we empower communities to thrive and unlock economic and social prosperity.
Our mission is to revolutionize transit with a solution that delivers high capacity, exceptional user experiences, unmatched affordability, and minimal environmental impact.
The Glydways system is a groundbreaking network of carbon-neutral, interconnected transit pathways powered by standardized autonomous vehicles on dedicated roadways. Operating 24/7 with on-demand access, it offers personalized and efficient mobility—without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.
With Glydways, we’re building more than a transportation system; we’re creating a future where everyone, everywhere, has the freedom to move.
Meet the team:
The Data Platform team, part of the Autonomy Software organization, is a collective of applied data scientists and data engineers responsible for building robust data pipelines to keep tabs on our robot software. We accomplish this using our in-house data platform, sponsoring cloud-native workflows, and championing data analytics tools across our partner teams. As the Data Platform Engineering Lead, you'll set the technical direction of our rapidly scaling data stack, staying hands-on to build its most critical pieces while growing the team of engineers behind it.
Roles & Responsibilities:
- Own the technical roadmap for our data platform, balancing near-term delivery against long-term scalability.
- Develop analytics and data accessibility solutions for internal engineering teams as well as 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 engineering by guiding technical decisions, reviewing code and designs, and supporting career development.
- Partner with engineering leadership on planning, prioritization, and headcount.
- Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads.
- Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities and influence build-vs-buy decisions.
Knowledge, Skills and Abilities:
- Degree in Computer Science, Analytics, Engineering or a related field.
- Experience building and leading engineering teams.
- Extensive experience building and operating production data platforms, with a track record of technical ownership over major systems.
- Proficiency with big data technologies (e.g., Spark, Hadoop, Hive, dbt).
- Proficiency with workflow orchestration tools (e.g., Airflow, Argo Workflows).
- Proficiency with multi-language build systems (e.g., Bazel, CMake) and containerization technologies (e.g., Docker, Kubernetes).
- Proficiency with cloud platforms (e.g., AWS, Azure, GCP).
- Expertise in Python and Shell.
- Expertise in SQL and/or SQL-like query languages.
- Expertise in version control systems (e.g., Git).
- Expertise in configuration languages (e.g., YAML, CUE).
Glydways provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
About Glydways
Glydways
glydways.com
5 other open roles at Glydways on TryApplyNow.
Frequently Asked Questions
How do I apply for the Data Platform Engineering Lead position at Glydways?
Use the Apply button above to submit your application directly to Glydways. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Data Platform Engineering Lead role at Glydways remote?
Yes. This is a remote role. The team is based in Remote, but the position itself does not require relocating to that office.
What does a Data Platform Engineering Lead at Glydways earn?
Glydways has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Platform Engineering Lead role at Glydways posted?
This role was posted on July 20, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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