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Principal Software Engineer - Data Lakes

External
Fivetran logoFivetran · Remote
Full-timeRemote4d ago
AWSAzureGCPGrafanagRPCJava
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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. This is a full-time remote position based out of Germany. Technologies You'll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB

Responsibilities

  • 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 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.
  • Bonus Skills
  • Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines.
  • #LI-IM1
  • #LI-REMOTE

Benefits

100% employer-paid medical insurance *Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days offRSU stock grants*Professional development and training opportunitiesCompany virtual happy hours, free food, and fun team-building activitiesMonthly cell phone stipendAccess 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.May vary by country and worker type - please reach out to your recruiter for more informationClick here to learn more about Fivetran's Benefits by Region.We're honored to be valued at over $5.6 billion , but more importantly, we're proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes .To learn more about Fivetran's culture and what it's like to be part of the team, click here and enjoy our video.To learn more about our candidate privacy policy, you can read our statement here .Health insurancePaid time offRemote work optionsEquity / stock optionsPerformance bonusParental leave

Additional Information

From Fivetran's founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We're proud that more organizations continue to leverage our technology every day to become truly data-driven.

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