Engineering Manager - Database
TimescaleFull Time
Junior (1 to 2 years)
Candidates must have 3+ years of experience managing software engineers, with a proven track record of hiring, developing, and retaining talent. Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones is required. The role also demands demonstrated success building highly technical teams that value ownership, speed, and continuous improvement, along with comfort driving execution in ambiguous environments by setting crisp priorities, sequencing bets, and delivering impact without over-process. A strong ability to mentor and coach engineers and emerging leaders, raising the technical and leadership bar, is essential.
The Engineering Manager will lead a team responsible for designing, building, and scaling pipelines that connect ClickHouse to various data systems, including databases like Postgres and MongoDB, and data warehouses such as BigQuery and Snowflake. This includes end-to-end responsibility for integrations, CDC, initial snapshots, schema evolution, backfills, and ensuring correctness at scale. The manager will recruit, coach, and develop a high-bar team, setting expectations and fostering a culture of ownership, speed, and continuous improvement. They will also jump into designs and code for complex flows, mentor and coach the team, build a culture of operational excellence by owning SLOs, reliability, and cost-efficiency for k8s-hosted services, and systematize support to reduce toil and build self-serve capabilities. Additionally, the manager will shape product vision, transform it into a roadmap, sequence bets for business impact, ship fast with tight feedback loops, inspire external content, and join customer calls to turn feedback into roadmap and fixes.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.