Solution Architect-Texas

ClickHouse•Dallas, TX
•Remote

About The Position

As an Enterprise Solutions Architect at ClickHouse, you will own the technical side of the sales cycle for enterprise accounts in Texas. The role serves the Enterprise segment, with Austin or Dallas as preferred bases. You will work with data platform engineers, architects, SREs, security teams, and executive stakeholders to design solutions and demonstrate their viability at production scale. Much of the work involves making migrations from incumbent systems credible through sound architecture, benchmarks using customer data, and an executable migration plan. Prior pre-sales experience is helpful but not required; strong technical depth is essential.

Requirements

  • A deep technical foundation in data infrastructure, gained through work as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
  • Production experience with analytical databases such as ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, or Vertica, including operating them, not only querying them.
  • Distributed systems judgment covering partitioning, replication, consistency trade-offs, query execution, and failure modes under load.
  • Fluency with the modern data stack, including Kafka and CDC pipelines, orchestration, object storage, BI tools, and architecture-level experience with at least one major cloud provider (AWS, GCP, or Azure).
  • Experience conducting and winning a technical evaluation against a named competitor, including designing a migration away from the incumbent.
  • Customer-facing experience with meaningful stakes, such as pre-sales, consulting, technical account management, or a staff-level engineering role involving customers.
  • Strong written and verbal communication, including the ability to whiteboard with staff engineers and present to a VP of Engineering.
  • Comfort managing longer enterprise sales cycles with multiple stakeholders and keeping evaluations moving.
  • Willingness to say when ClickHouse is not the right tool for a workload.

Nice To Haves

  • Prior pre-sales experience.

Responsibilities

  • Own technical evaluations for enterprise accounts from discovery through POC or competitive bake-off, architecture sign-off, security review, and the first production workload.
  • Engage technical and executive stakeholders, including data platform engineers, architects, SREs, security teams, and the executive who owns the standard.
  • Design production-scale solutions covering sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and failure scenarios.
  • Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems using reproducible benchmarks on customer data.
  • Own migration plans, including sequencing, dual-running, validation, and cutover.
  • Support security and procurement reviews through questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
  • Partner with Enterprise AEs to advance and close opportunities, owning the technical win while they own the commercial close.
  • Build total cost of ownership cases against incumbent or competing systems with Enterprise AEs.
  • Represent customer needs internally to Product and Engineering as the technical buyer's voice.
  • Contribute reference architectures, benchmark harnesses, migration guides, and objection-handling materials.

Benefits

  • Employer contributions toward healthcare.
  • Stock options for every new team member.
  • Flexible time off in the US and generous time-off entitlement in other countries.
  • A USD $500 home-office setup allowance for remote employees.
  • Opportunities to engage with colleagues at company-wide offsites.
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