C

ClickHouse

Builds databases for real-time analytics

Enterprise Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Deep technical foundation in data infrastructure, gained through experience as a data engineer, platform engineer, software engineer, database administrator, or solutions architect.
  • Production experience with analytical databases such as ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, or Vertica, including operating them rather than only querying them.
  • Distributed systems judgment covering partitioning, replication, consistency trade-offs, and query execution, plus understanding how systems fail under load.
  • Fluency across the modern data stack, including Kafka and change data capture pipelines, orchestration, object storage, business intelligence tools, and architecture-level knowledge of at least one major cloud: AWS, Google Cloud Platform, or Azure.
  • Experience running and winning a technical evaluation against a named competitor, including designing migration away from the incumbent and addressing its difficult aspects.
  • Customer-facing experience with significant stakes, such as pre-sales, consulting, technical account management, or a staff-level engineering role involving customers.
  • Strong written and verbal communication skills, including the ability to whiteboard with a staff engineer and present to a vice president of engineering.
  • Comfort managing longer enterprise evaluation cycles with multiple stakeholders and keeping them moving.
  • Willingness to recommend against ClickHouse when it is not the right tool for a workload.

Responsibilities

  • Own technical evaluations for enterprise accounts from discovery through proof of concept or competitive bake-off, architecture sign-off, security review, and the first production workload.
  • Engage data platform engineers, architects, site reliability engineers, security stakeholders, and executives; design solutions that address their needs.
  • Design for production scale, including 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 based on customers' own data.
  • Own migration plans, including sequencing, dual-running, validation, and cutover.
  • Clear security and procurement requirements, including questionnaires, compliance artifacts, network and identity architecture, and bring-your-own-cloud or private deployment requirements.
  • Partner with enterprise account executives to progress and close opportunities, owning the technical win while they own the commercial close; build total-cost-of-ownership cases against incumbents and competitors.
  • Advocate internally for customer needs with Product and Engineering as the voice of the technical buyer.
  • Contribute reference architectures, benchmark harnesses, migration guides, and objection-handling materials.

Desired Qualifications

  • Prior pre-sales experience is helpful but not required.

About the Company

ClickHouse

Builds databases for real-time analytics

ClickHouse develops a database for software teams that need to analyze large streams of events, logs, and application data. It stores records by column and lets users query them with SQL to build dashboards, monitor systems, and power analytics inside customer-facing products. Teams run the open-source software on their own infrastructure or use ClickHouse Cloud, a managed service available on AWS, Google Cloud, and Azure. The company earns revenue from cloud compute, storage, and paid services, with tools that ingest data from other databases and event streams. ClickHouse was formed in 2021 and is headquartered in Palo Alto, California, with another headquarters in Amsterdam.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Palo Alto, CA
Founded
2021

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