56 минут назад
Staff Data Engineer (ClickHouse)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (ClickHouse): Owning the ClickHouse warehouse, data ingestion, materialized views, and Metabase analytics for a data security posture management platform with an accent on OLAP design, reporting, and data infrastructure scalability. Focus on diagnosing performance and memory problems, building reliable data pipelines and automations, and setting technical standards for AI-assisted engineering.
Location: Remote within the United States; Ohio or EST time zone
Company
develops data security solutions that provide visibility and control over identity, access, and sensitive enterprise data.
What you will do
- Own the ClickHouse schema, data model, migrations, and materialized views.
- Design reliable data ingestion, lifecycle, and operational processes as customer data volumes grow.
- Build reports, dashboards, embedded analytics, and self-service reporting in Metabase.
- Diagnose and resolve performance, memory, query, and scalability problems in production.
- Create automations, Claude Code configurations, test harnesses, and documentation that enable safe contributions from engineers and AI tools.
- Set technical standards and make pragmatic depth-versus-breadth decisions for the data area.
Requirements
- At least 5 years of experience in data or analytics engineering, including technical leadership and ownership of a production OLAP database.
- Deep SQL and analytical-engine expertise, including materialized views, partitioning, and OLAP database design.
- Experience fixing performance and memory issues at scale, including out-of-memory errors, read amplification, runaway joins, and complex queries.
- Strong BI and reporting experience with dashboards and user-facing reporting layers.
- Ability to work independently as the accountable owner of a technical area and make depth-versus-breadth trade-offs.
- Must be located in the United States and able to work in the Ohio or EST time zone.
Nice to have
- ClickHouse and Metabase experience.
- Golang and Kubernetes experience.
- Experience with customer enablement, solution engineering, technical writing, demos, or community advocacy.
- Data science or statistics experience.
Culture & Benefits
- AI-first engineering practices using Claude Code, automations, plugins, and documented technical knowledge.
- Broad ownership in a small team working across SQL, Go, Python, Helm, and potentially TypeScript.
- Emphasis on transparent ownership, clear thinking, customer focus, technical excellence, and collaboration.
- Competitive health benefits and continuous learning and development opportunities.
- Regular company town halls and opportunities for career growth.
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