• Set the technical direction for Lytx's cloud data warehouse and lakehouse platform, balancing performance, cost, and reliability at scale.
• Design data models, pipelines, and storage layers that support analytics, reporting, and machine learning across the business.
• Partner with data engineering, analytics, product, and AI teams to translate business needs into platform capabilities.
• Lead complex, cross-team technical initiatives from design through delivery, and represent the data platform in architecture reviews.
• Improve data quality, governance, and observability so teams can trust the data they build on.
• Raise the bar on engineering practices through code review, design documents, and mentorship of engineers at all levels.
• Evaluate and introduce new tools and approaches where they solve a real problem, not for their own sake.
• Support the platform's ability to scale with Lytx's data volumes, including new data from AI safety features.

• 10+ years of experience in data engineering, with a track record of designing and operating large-scale data warehouse or lakehouse platforms in production.
• Deep hands-on experience with a modern cloud data warehouse (e.g., Snowflake, BigQuery, or Redshift) and distributed data processing (e.g., Spark).
• Strong SQL and Python skills, and experience building and maintaining data transformation pipelines (e.g., dbt, Airflow, or similar orchestration tools).
• Solid understanding of data modeling, warehouse design patterns, and the tradeoffs between batch and streaming architectures.
• Experience operating data infrastructure on a major cloud provider (AWS, Azure, or GCP).
• A history of leading technical projects across teams and influencing architecture decisions without direct authority.
• Clear written and verbal communication — you can explain a complex data model to both an engineer and a business stakeholder.
• A bias toward pragmatic solutions: you know when to build for scale and when to keep things simple.

• Experience with streaming data platforms (e.g., Kafka, Kinesis, or Flink).
• Experience supporting machine learning or AI feature pipelines.
• Background in IoT, telematics, video, or another high-volume sensor data domain.
• Experience with data governance, lineage, or cataloging tools.

Lytx's culture runs on DRIVE: Deliver for the Customer, Responsibility in Every Outcome, Innovate with Purpose, Velocity with Excellence, and Elevate Each Other. As a Staff Engineer, you'll model these values daily — owning outcomes end-to-end, questioning assumptions to find better solutions, moving quickly without cutting corners, and investing in the growth of the engineers around you.

Lytx's data platform sits underneath nearly every 2026 company priority: it powers the safety insights behind our AI features, the retention analytics that keep customers healthy, and the reporting that supports LytxOne's growth. As a Staff Engineer on this team, your architecture decisions have a direct, visible impact on the business.

You’re driven to succeed and so are we. At Lytx, our mission is to protect a world in motion, and we do it by building technology and partnerships that help keep people safe on the road. The way we work is guided by our shared values: Deliver for the customer, Responsibility in every outcome, Innovate with purpose, Velocity with excellence, and Elevate each other.

If you’re looking for meaningful work, a team that challenges and supports you, and the chance to grow your career while making a real impact, we’d love to meet you.

Together, we’re helping make roadways safer and saving lives!

Lytx, Inc. is proud to be an equal opportunity employer. We’re committed to building a diverse and inclusive workforce and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, gender, genetic information, uniformed service, national origin, age, veteran status, disability, pregnancy, or any other status protected by federal or state law. We are committed to providing reasonable accommodation for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected].  Lytx conducts background checks on applicants who receive a conditional offer of employment in accordance with applicable local, state, federal and regional laws. Qualified applicants with arrest or conviction records will be considered. Background check results may potentially result in the withdrawal of a conditional offer of employment and will be made in accordance with all applicable local, state, federal and regional laws.