C

ClickHouse

Builds databases for real-time analytics

Enterprise Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 12
Full-timeSingapore

About the Job

Requirements

  • Professional fluency in Mandarin and English, written and verbal, sufficient to run a deep technical workshop in Mandarin and present the architecture to a global internal audience in English.
  • A deep technical foundation in data infrastructure built through experience as a data engineer, platform engineer, software engineer, database administrator, or solutions architect.
  • Production experience operating analytical databases such as ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, or Vertica.
  • Distributed-systems judgment covering partitioning, replication, consistency trade-offs, query execution, and failure behavior under load.
  • Fluency across the modern data stack, including Kafka and change data capture pipelines, orchestration, object storage, business intelligence tools, and at least one major cloud provider at architecture level.
  • Experience running and winning a technical evaluation against a named competitor, including designing the migration off the incumbent and addressing its difficult aspects.
  • Customer-facing experience with significant stakes in 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 a staff engineer and present to a VP of Engineering.
  • Ability to manage longer enterprise sales cycles involving multiple stakeholders and keep evaluations progressing.
  • Willingness to state when ClickHouse is not the right tool for a workload.

Responsibilities

  • Own technical evaluations for enterprise accounts across Greater China, 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 executive decision-makers to design solutions that meet 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 customer benchmarks.
  • Own migration plans, including sequencing, dual-running, validation, and cutover, so customers can understand the path to production.
  • Clear security and procurement requirements, including questionnaires, compliance artifacts, network and identity architecture, data residency requirements, and bring-your-own-cloud or private deployment requirements.
  • Partner with Enterprise Account Executives to progress and close opportunities; own the technical win while they own the commercial close, and jointly build the total-cost-of-ownership case against incumbents and competitors.
  • Advocate for customer needs internally with Product and Engineering as the voice of the technical buyer.
  • Contribute reference architectures, benchmark harnesses, migration guides, and objection-handling material to help scale effective practices.

Desired Qualifications

  • Experience selling or supporting technical sales into the Greater China market.
  • Familiarity with the local cloud and data ecosystem, including Alibaba Cloud, Tencent Cloud, and Huawei Cloud, and how enterprises in the region build around it.
  • Open-source community experience, including engagement with developer and engineering audiences in the region.
  • Experience working remotely in a global, distributed organization.

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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