Enterprise Solutions Architect - Pacific Northwest (Remote)

ClickHouse; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible work environment

Healthcare

Equity in the company

Time off

USD$500 Home office setup

Global Gatherings

Job summary

ClickHouse is seeking an Enterprise Solutions Architect to own the technical side of the sales cycle for enterprise accounts, designing production-scale architectures and migration plans that pass scrutiny from data platform engineers to VPs. You’ll drive credible benchmarks, security artifacts, and a clear cutover path.

You’ll collaborate with Enterprise AEs to win technically while engineers focus on the commercial close.

Qualifications

• Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
• Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
• Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
• Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level.
• Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
• Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
• Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
• Comfort with longer cycles and more stakeholders. Enterprise evaluations don’t close in three weeks, and you know how to keep one moving without letting it stall.
• Willingness to say ClickHouse isn’t the right tool for a given workload when that’s true.

Responsibilities

• Own the technical evaluation for enterprise accounts — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
• Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
• Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
• Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer’s own team can reproduce.
• Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer’s team can see exactly how they get to production.
• Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
• Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
• Advocate for customer needs internally with Product and Engineering — you’re the voice of the technical buyer inside ClickHouse.
• Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what’s working.

Skills

Data infrastructure

Distributed systems

Data stack fluency

Cloud architectures

Customer-facing experience

Communication skills

Stakeholder management

Tools

Kafka

CDC pipelines

Orchestration tools

Object storage

BI tools

AWS

GCP

Azure

Job description

ClickHouse is seeking an Enterprise Solutions Architect to own the technical side of the sales cycle for enterprise accounts, designing production-scale architectures and migration plans that pass scrutiny from data platform engineers to VPs. You’ll drive credible benchmarks, security artifacts, and a clear cutover path.

You’ll collaborate with Enterprise AEs to win technically while engineers focus on the commercial close.