Staff Data Engineer

About the role

About the Role

Ready to be a Titan? Play a pivotal role as our Data Platform expert! As a Staff Data Engineer, you will lead the architectural evolution and engineering execution of our core data platform. This is a high-impact role for a technical leader to design and build major features in a rapidly growing, high-scale environment.

In this role, you will help shape the next generation of our data capabilities—integrating robust Semantic Modeling, optimizing Query Performance, and advancing our Data Sharing capabilities. We build for perfection, use the most modern tools, have an amazing culture, and love to solve complex problems. If you share these values, you will find yourself in the perfect company.

What You’ll Do

- Architect & Implement: Design, implement, and maintain high-performance, fault-tolerant, and scalable systems to support enterprise-grade data and analytical products.

- Semantic & Shared Data Architecture: Contribute to the design and implementation of modern Semantic Layer and Data Share architectures, enabling seamless and governed data access across the organization.

- Data Curation & Modeling: Lead the implementation of clean semantic models using dbt MetricFlow to define standardized business metrics. Drive modern data curation solutions that allow teams to quickly onboard new data sources.

- Performance Engineering: Evaluate, implement, and optimize efficient distributed storage and Query Performance techniques to maximize platform efficiency and minimize latency across massive datasets.

- Pipeline Engineering: Partner with cross-functional teams to extract, transform, and load data from a wide variety of transactional, streaming, and analytical sources.

- Engineering Excellence: Champion exceptional code quality with rigorous automated testing. Lead regular code reviews, drive constructive technical discussions, and facilitate design sessions across multiple engineering teams.

- Observability & Quality: Design automation tools for monitoring, alerting, and measuring data quality, ensuring high platform reliability.

- Operational Ownership: Actively participate in the on-call rotation to monitor system stability, manage incidents, and uphold a culture of operational excellence.

What You’ll Bring

- Education: B.S., M.S., or PhD degree in Computer Science, or a related technical field.

- Experience: 8+ years of hands-on experience in Software Engineering / Data Engineering roles working in high-traffic, highly available production environments.

- Technical Leadership: 3+ years of experience driving the technical architecture, design patterns, reliability, scaling, and ROI of complex data systems.

- Semantic & Performance Expertise: Proven experience with Semantic Modeling concepts (ideally using dbt MetricFlow) and a strong track record of troubleshooting and optimizing complex Query Performance.

- Core Modern Stack: Deep proficiency with cloud data warehouses (e.g., Snowflake), SQL, and advanced data transformation frameworks.