C

ClickHouse

Builds databases for real-time analytics

Solutions Architect

Pre-Sales Solution EngineeringUpdated on Nov 12
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company.
  • Deep hands-on experience with SQL and analytical or online analytical processing databases such as ClickHouse, Snowflake, BigQuery, Druid, Vertica, or Redshift.
  • Strong understanding of distributed systems fundamentals, including partitioning, replication, consistency trade-offs, and query execution at scale.
  • Comfort working across the modern data stack, including streaming systems, orchestration tools, business intelligence tools, and cloud infrastructure such as AWS, Google Cloud Platform, or Azure.
  • Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions.
  • Willingness to travel periodically for customer visits, conferences, and team events.

Responsibilities

  • Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment.
  • Design reference architectures, data models, and ingestion and query patterns tailored to each customer's use case, scale, and existing data stack.
  • Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions.
  • Partner closely with Account Executives to build technical account strategy, navigate procurement and security reviews, and close complex deals.
  • Deliver technical presentations, demos, and workshops to audiences ranging from individual engineers to VP- and C-level stakeholders.
  • Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases such as Postgres, Elasticsearch, Snowflake, Druid, and Spark.
  • Serve as the voice of the customer internally by feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning.
  • Build reusable assets, demos, and technical content, including blog posts, reference architectures, and sample applications, to scale impact across the field team.
  • Contribute to team best practices, tooling, and onboarding materials.

Desired Qualifications

  • Direct experience deploying or administering ClickHouse in production.
  • Experience with real-time analytics, observability, or large-scale event and log data use cases.
  • Contributions to open-source data infrastructure projects.
  • Prior experience at an early-stage or hypergrowth startup.
  • ClickHouse experience is a strong plus.

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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