Data Platform Engineer

ClickHouse
•Remote

About The Position

ClickHouse is seeking a Senior Data Engineer to evolve its internal data warehouse platform and deliver reliable, high-performance data models for business users across the organization. The warehouse supports analytics, forecasting, and decision-making across the company. Its technology stack centers on ClickHouse, with dbt, Airflow, S3, AWS, Superset, and GitHub Actions. It ingests data from more than 30 external sources, processes over 2.5 PB of data, and delivers most data marts with one-hour end-to-end latency. The role develops reusable platform components and DataOps tooling, contributes technical leadership and architectural input, and builds and optimizes business data models. The successful candidate will help maintain platform stability, improve development workflows, and guide contributors through reviews and technical mentorship. ClickHouse is a globally distributed, remote-friendly company operating in more than 25 countries.

Requirements

  • Exceptional SQL skills.
  • Strong hands-on experience with Airflow, dbt, and Python.
  • A proven track record building and optimizing large-scale, high-throughput data pipelines.
  • A solid understanding of data warehousing fundamentals, including ETL/ELT, dimensional modeling, and data quality.
  • A bachelor's degree in Computer Science or a related field.
  • Comfort working in a fast-paced startup environment.

Nice To Haves

  • Hands-on experience with ClickHouse.
  • Familiarity with AWS or other cloud platforms.
  • Experience with CI/CD development, especially using GitHub Actions.

Responsibilities

  • Design and develop reusable Airflow components, including operators, connectors, and hooks, as well as custom integrations tailored to the data architecture.
  • Build reusable dbt macros and abstractions, including incremental strategies, ETL building blocks, and generic data quality tests optimized for ClickHouse and the company's data patterns.
  • Develop DataOps tooling, including CI pipelines, data migration frameworks, and security controls, emphasizing reliability, self-service usability, and scale.
  • Conduct thorough code reviews for team members and other contributors.
  • Participate in technical and architectural design discussions.
  • Provide technical leadership in specific areas of the stack.
  • Improve the team's development environment, with a focus on automation, including AI-assisted workflows.
  • Support platform stability through proactive troubleshooting and timely incident resolution.
  • Develop, refactor, and optimize business data models in line with modeling standards and ClickHouse best practices.
  • Mentor and support contributors through code reviews and technical guidance.
  • Lead the design and implementation of technically demanding data marts, particularly those involving high data velocity, large volumes, or complex business logic.

Benefits

  • Employer contributions toward healthcare.
  • Equity for eligible new team members.
  • 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 connect with colleagues at company-wide offsites.
  • Flexible, remote-friendly work environment.
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