About the job
About ClickHouse
Honored in the 2025 Forbes Cloud 100 list, ClickHouse stands out as a leading innovator among rapidly growing private cloud enterprises. With a customer base exceeding 3,000 and an impressive annual recurring revenue growth of over 250 percent, ClickHouse is at the forefront of real-time analytics, data warehousing, observability, and AI workloads.
The company’s continuous and accelerating growth was recently underscored by a substantial $400 million Series D funding round. Notable clients such as Capital One, Lovable, Decagon, Polymarket, and Airwallex have either adopted our platform or expanded their existing operations in the last three months. These organizations join an esteemed roster of AI pioneers and global brands, including Meta, Cursor, Sony, and Tesla.
We aim to revolutionize how businesses utilize data. Join us on our exciting journey!
Note: This role is available for remote work in any country where ClickHouse has a hiring presence.
About the Team
The ClickPipes - Database Integrations team is responsible for developing a platform that facilitates real-time data replication from databases into ClickHouse at an unparalleled petabyte scale.
As a member of this team, you will tackle complex database-related challenges and distributed system issues, including understanding database internals to refine snapshotting strategies, managing schema evolution during live replication, ensuring data type compatibility across various systems, maintaining low end-to-end latency under unpredictable loads, and utilizing robust execution frameworks to guarantee data consistency across unreliable networks. We operate transparently — our database integrations are constructed on PeerDB, an open-source CDC platform to which we actively contribute.
Check out some of our latest projects:
- ClickPipes for Postgres now supports failover replication slots
- MongoDB CDC to ClickHouse with Native JSON Support
- Under the Hood: Building MySQL Change Data Capture in ClickPipes
Your Responsibilities:
Develop data-driven systems
- Design and implement high-performance integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).

