About the role

ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta.

As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over.

You'll work on a broad mix of projects for customers across Japan, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems.

The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support.

WHAT YOU'LL DO

Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline
Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept
Do the build: implementation, pipelines and integrations, migration execution, tooling and automation
Measure it before it matters, with benchmarking, load and functional testing, then support the cutover
Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you
Take L1 to L3 cases alongside support engineers when you're between projects
Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts
Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production

WHAT YOU'LL BRING

5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else
Real depth in databases, whether analytical, transactional or relational
Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself
You've owned implementations, migrations or POCs for external customers from start to finish
Hands-on cloud experience (AWS, GCP and/or Azure)
You've deployed and run workloads on Kubernetes yourself

About the role

ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta.

WHAT YOU'LL DO

Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline
Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept
Do the build: implementation, pipelines and integrations, migration execution, tooling and automation
Measure it before it matters, with benchmarking, load and functional testing, then support the cutover
Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you
Take L1 to L3 cases alongside support engineers when you're between projects
Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts
Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production

WHAT YOU'LL BRING

5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else
Real depth in databases, whether analytical, transactional or relational
Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself
You've owned implementations, migrations or POCs for external customers from start to finish
Hands-on cloud experience (AWS, GCP and/or Azure)
You've deployed and run workloads on Kubernetes yourself

Senior Consulting Engineer - Japan

About the role

WHAT YOU'LL DO

WHAT YOU'LL BRING

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Senior Consulting Engineer - Japan

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