Staff Database Engineer, ClickHouse

About Enterpret At Enterpret, we are building a customer feedback intelligence platform for product development teams. We are solving complex problems in natural language processing, serverless computing, analytics on frontend, pushing the envelope of what’s possible by applying first principle thinking. We are backed by Kleiner Perkins and Sequoia Capital, who share our conviction in this mission, and we serve some of the most respected product development teams in the world, including Canva, Notion, Netflix, Wispr Flow. We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership. Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work. Read more about our team, core values, and operating principles - here. What You’ll Do Run ClickHouse in production on AWS EC2 end to end, covering performance, capacity, replication, Keeper, upgrades, backups and cost. Redesign how we store customer data so the database grows with data volume, not with the number of customers. Today each customer has its own set of tables, some with 1,000+ custom columns, which puts us at tens of thousands of tables and climbing toward 10x. Make queries fast and writes safe. Tune schemas, partitions and queries, and make deletes, updates and backfills safe to run at scale. Write and review Go and Python code, mainly the data-access layers and the ETL pipelines that feed ClickHouse. Look after Postgres and Redis alongside it. Partner with the founding team and platform engineers on the plan to reach 10x scale. Review schema and query changes before they ship and help teams scale their applications. Build monitoring and runbooks, lead database incidents, and see the follow-up fixes through so the same problem doesn’t come back. What It Takes 7+ years in software engineering, including 3+ years hands-on with ClickHouse in production. Depth matters more than the number of years. 3+ years at one organization where you’ve built systems from scratch and led projects. Deep expertise in ClickHouse at scale: architecture, cluster setup, replication, sharding, Keeper, performance tuning and query optimisation. Strong SQL and database design (schemas, partitioning, indexing, storage optimisation), plus hands-on experience with Postgres and Redis. Proficient in Go and Python, with a solid understanding of ETL/ELT pipelines and comfort working on AWS (especially EC2) and Linux. AI-native: you use AI tools daily for coding and debugging, and you check their output. A track record of collaborating across teams and mentoring engineers, explaining trade-offs clearly, and making sound calls when the path to scale isn’t fully mapped out. Why Enterpret? High Impact: Be the person who gets our core analytics database to 10x scale safely, at an early-stage startup where that work shapes the whole product.