Staff Database Engineer, ClickHouse

Teli Labs; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Benefits offered by this job

Equity

Premium healthcare

Hybrid work setup

Job summary

Enterpret is seeking a Staff Database Engineer to own ClickHouse at scale in Bengaluru. You’ll run production workloads on AWS EC2, redesign data storage for massive growth, and ensure fast queries with safe writes.

You’ll implement data-access layers in Go and Python and oversee ETL pipelines with Postgres/Redis in a multi-tenant setup. You’ll collaborate with the founding team to plan scale, review schema changes, and contribute to monitoring, runbooks, and incident response.

Qualifications

• 7+ years in software engineering, including 3+ years hands-on with ClickHouse in production.
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Responsibilities

• 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.
• Make queries fast and writes safe by tuning schemas, partitions and queries; safe deletes and backfills at scale.
• Write and review Go and Python code, mainly data-access layers and ETL pipelines; support Postgres and Redis.
• Partner with founding team and platform engineers to reach 10x scale; review schema and query changes before shipping.
• Build monitoring and runbooks; lead database incidents and ensure follow-up fixes.

Skills

ClickHouse

Go

Python

SQL

Postgres

Redis

AWS EC2

Linux

Data modeling

Mentoring

Tools

ClickHouse in production

ETL pipelines

Data store redesign

Monitoring & runbooks

Job description

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.

Staff Database Engineer, ClickHouse

Bengaluru, Onsite

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.
• Ownership: End-to-end responsibility for features and systems.
• Complex Challenges: Work on a multi-tenant ClickHouse platform with thousands of wide tables, real-time analytics, and the data model changes needed to make it scale.
• Growth: Learn and grow with a high-caliber team and expand into leadership or deep technical expertise in data infrastructure.
• Culture: Open, collaborative, and values-driven environment with autonomy.
• Benefits: Competitive salary, equity, hybrid work setup, premium healthcare, and more.

What We Value

At Enterpret, we operate with a deep sense of ownership - we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.