Senior Data Platform Engineer, ISS - Data Platform Engineering

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We’re building a new capability inside Platform Engineering, within our Infrastructure Shared Services (ISS) organisation: Data Platform Engineering. Our goal is to create a platform that removes friction, providing a consistent way to build, operate, and evolve data-driven services with clear ownership, guardrails, and a strong developer experience. Everpure’s own platform thinking is anchored in the idea of a unified data plane - a single fabric that connects data across locations and delivers consistent, secure data services across protocols and applications. In this role, you’ll build and operate a trusted, scalable, and intelligent data platform that empowers teams to make faster data-driven decisions while shaping a culture of ownership and innovation to meet the needs of an ever-changing business and technology landscape. WHAT YOU'LL DO Design, build, and operate the core data platform services that enable teams to ingest, model, query, and publish data seamlessly. Architect a multi-engine environment (e.g., Trino/Starburst, Dremio, ClickHouse, Postgres/pgLake) with an Iceberg-based lakehouse, prioritizing interoperability, operability, and security. Drive platform evolution through experimentation , measuring performance, reliability, and cost trade-offs to standardize high-impact solutions. Establish durable corporate knowledge by developing strong defaults, comprehensive documentation, and intuitive self-service interfaces. Manage core lakehouse components , including table layout conventions, catalogue integration, and critical lifecycle maintenance patterns such as compaction and optimization. Implement robust ingestion patterns for both batch and streaming data, ensuring clear SLAs and highly observable failure modes. Enable multi-engine access by configuring connectors and catalog permissions while maintaining strict guardrails for a consistent user experience. WHAT YOU BRING 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. A growth mindset characterized by curiosity and a proactive approach to solving complex architectural problems. Strong collaborative communication skills , with a proven ability to align and work effectively across diverse technical stakeholder groups. We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. #LIONSITE WHAT YOU CAN EXPECT FROM US: Innovation : We celebrate those who think critically, like a challenge, and aspire to be trailblazers. Growth : We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! Team : We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-s ... (truncated, view full listing at source)