Senior Data Platform Engineer, ISS - Data Platform Engineering
Pure StoragePrague, Czech Republic
Full Time
Posted March 27, 2026
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Job Description
This role involves designing, building, and operating a scalable, secure, and interoperable data platform that enables efficient data ingestion, modeling, querying, and publishing, supporting data-driven decision-making and innovation within the organization.
Key Responsibilities
- Design, build, and operate core data platform services for data ingestion, modeling, querying, and publishing.
- Architect multi-engine environments (e.g., Trino, Dremio, ClickHouse, Postgres) with a focus on interoperability, operability, and security.
- Drive platform evolution through experimentation, performance measurement, and cost optimization.
- Develop documentation, defaults, and self-service interfaces to facilitate knowledge sharing and ease of use.
- Manage lakehouse components, including table layouts, catalog integration, and lifecycle maintenance.
- Implement robust batch and streaming data ingestion patterns with clear SLAs and observability.
- Configure connectors and permissions to enable multi-engine access while maintaining guardrails.
Requirements
- Six (6) years of experience in the design and development of data pipeline automation, specifically extracting data from API-based sources.
- Technical expertise in developing complex automation frameworks, data modeling, and ETL processes using SQL, Python, DBT, Apache Airflow, or similar languages.
- Full-stack proficiency across the data stack, with deep knowledge of Python, SQL, and ETL methodologies.
- Hands-on familiarity with the big data ecosystem, including technologies such as Trino, Kafka, and Iceberg.
- Ability to design, build, and operate core data platform services that enable teams to ingest, model, query, and publish data seamlessly.
- Ability to architect a multi-engine environment e.g., Trino Starburst, Dremio, ClickHouse, Postgres pgLake with an Iceberg-based lakehouse, prioritizing interoperability, operability, and security.
- Experience in driving platform evolution through experimentation, measuring performance, reliability, and cost trade-offs to standardize high-impact solutions.
- Experience in establishing durable corporate knowledge by developing strong defaults, comprehensive documentation, and intuitive self-service interfaces.
- Experience managing core lakehouse components, including table layout conventions, catalogue integration, and critical lifecycle maintenance patterns such as compaction and optimization.
- Implementing robust ingestion patterns for both batch and streaming data, ensuring clear SLAs and highly observable failure modes.
- Configuring connectors and catalog permissions to enable multi-engine access while maintaining strict guardrails for a consistent user experience.
- Proficiency in working in an in-office environment from the Prague office, in compliance with company policies.
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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