Data Platform Tech Lead

Data Platform Tech Lead

Austin, TX

Fully On-site

Starting at $160k Base Salary

About the Role

We’re seeking a hands-on Technical Lead to define, build, and scale a core data processing platform that enables high-performance data workflows for engineering teams. This is a high-visibility role where you’ll shape the future of infrastructure that supports analytics, simulation, and ML systems.

What You’ll Do

• Define the technical vision for a scalable data compute and processing platform.
• Build and optimize distributed systems for data ingestion, transformation, and compute.
• Prototype, iterate, and deliver robust tooling used daily by engineering teams.
• Collaborate closely with ML, analytics, and simulation teams to align capabilities to needs.
• Lead and mentor technical contributors in infrastructure delivery.

What You’ll Need

• Strong experience with Python and distributed systems
• Proven track record building scalable compute/data platforms (Apache Spark, Airflow, Kubernetes, Ray, Argo)
• Demonstrated leadership in architecting technical solutions and guiding engineering teams
• Excellent communication skills and ability to work cross-functionally

Nice to Have

• Familiarity with ML pipelines and large sensor-derived datasets (ex: camera, lidar, radar)
• Experience optimizing systems for performance and cost
• Experience with C++
• Masters or PHD

Why You’ll Love It

• High impact: Your work will enable better data tooling across analytics and ML teams.
• Fast-paced environment with opportunities to innovate and lead.
• Great exposure to cutting-edge data infrastructure tools.