Principal Software Engineer - Data Lakes

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization.

Technologies You’ll Use

• Java, C++, Postgres, Temporal, gRPC
• AWS, GCP, Azure, Kubernetes, Grafana
• Iceberg, Polaris, Delta Lake, Parquet, DuckDB

What You’ll Do

• Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands.
• Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team.
• Contribute to open-source projects such as DuckDB and Polaris.
• Embrace Fivetran innovations with open-source standards and toolsets.
• Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them.
• Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.
• Set technical directions and influence cross-functional teams.

Skills We’re Looking For

• 6+ years of hands-on or research experience with high-performance relational data management systems.
• Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements.
• Proven track record of leading and delivering large and complicated projects.
• Strong development skills in Java and C++.
• Solid experience with public clouds (AWS, Azure, GCP).
• Demonstrated knowledge of columnar storage