Key skills
Data product developmentColumnar databasesSQL skillsPython programmingData modelingSemantic systemsObservability domain experienceRust programmingGo programmingData validation frameworksData visualizationMulti-tenant architecturePythonGoRustSQLAnalyticsTableauTimescaleDBGrafanaCDNWAF
About this role
Hydrolix is a company focused on building data products and semantic intelligence systems. The Senior Data Product Engineer will design schemas and pipelines for observability domains and contribute to a semantic intelligence platform that enhances data products' usability and effectiveness.
Responsibilities:
- Design and implement data models, rollups, and pipelines for observability use cases
- Write Python (or Rust) for data transformations, validation, and pipeline orchestration
- Optimize SQL queries and data layouts for columnar database performance
- Define semantic concepts and relationships for security, CDN, and bot detection domains
- Contribute to semantic contract schemas, query planners, and validation systems
- Work with Solutions Engineers and customers to validate that data products answer real questions
- Ship weekly—new metrics, new data sources, query optimizations, or semantic capabilities
Requirements:
- 5-7+ years building data products, pipelines, or analytics platforms (experience with log/event data strongly preferred)
- Experience with columnar databases or OLAP systems (ClickHouse, Druid, Pinot, TimescaleDB)—you understand how columnar storage affects data modeling and query performance
- Strong SQL skills for complex aggregations, performance tuning, and query optimization
- Programming in Python, Rust, or Go for data transformation, validation, and tooling
- Observability, security, or log analytics domain experience (CDN logs, WAF logs, application monitoring, or similar)
- Experience with schema design, data modeling, and semantic systems
- Comfort with ambiguity and rapid iteration —you can ship weekly while building toward a bigger vision
- Track record of building data products that customers rely on
- Experience building semantic layers, metadata systems, or knowledge graphs
- Background in query planning, optimization, or SQL compilation
- Multi-tenant data architecture experience
- Data visualization experience (Grafana, Tableau, or similar)
- Understanding of bot detection, security analytics, or CDN performance patterns
- Experience with data validation frameworks or data quality systems