Senior Staff Software Engineer

What You’ll Do

• Design, build, and lead the architecture of Fivetran's semantic layer, defining the modeling and query semantics that power metrics and analytics across customer data
• Independently design and implement features and performance improvements to create highly scalable distributed data systems on the cloud
• Develop, maintain, and test code
• Drive technical direction and architectural designs across the team and owned services
• Conduct design and code reviews
• Understand and fix challenges related to performance and scalability of query execution over large data warehouses
• Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
• Participate periodically in on-call rotation
• Participate in the hiring process
• Mentor junior developers and make Fivetran the most reliable and secure component of our customers' data infrastructure

Technologies You’ll Use

• Python, Postgres, DuckDB, Data Warehouses, Kubernetes, Docker, GCP, BuildKite, Grafana

Skills We’re Looking For

• 8+ years of experience in the software industry with a passion for solving complex software engineering problems, including experience designing and developing reusable libraries, services, and platforms from scratch leveraging industry best practices
• Experience working with distributed systems and cloud security concepts
• Strong proficiency in Python and SQL, with deep experience working with relational databases (Postgres) and data warehouses
• Demonstrated ability to write well-structured and performant code
• Ability to independently lead software and infrastructure design to satisfy project requirements
• Can identify design flaws in existing systems and come up with improvements
• Experience in code reviews, design, troubleshooting, and testing
• Hands-on experience working with cloud technologies (AWS, GCP) and containerization methodologies like Docker and Kubernetes
• Experience interacting with continuous integration tools like BuildKite; knowledge of observability tools like Grafana is a plus
• Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation, and use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals

Bonus Skills

• Experience building semantic layers, metrics layers, or BI/analytics modeling tools
• Experience with query engines or query optimization (DuckDB, Spark, or similar)
• Experience in data processing (ETL, ELT) and/or cloud-based data platforms
• Experience designing query languages, DSLs, or analytical APIs
• Open-source contributions to data or analytics tooling