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.
Requirements
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 formats.
Growth mindset and excitement about breaking the status quo by seeking innovative solutions.
Excellent team player who is consistent in making everyone around you better.
Tech Stack
AWS
Azure
Google Cloud Platform
Java
Benefits
100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.