Job Type:Full-time |Location:Vancouver |Department:Operations |Reporting To:Associate Director, Operations |Work Location Type:#hybridIREN is a leading AI Cloud Service Provider delivering large-scale GPU clusters for AI training and inference. Our platform is powered by renewable-rich data centers across the U.S. and Canada. We build, own, and operate our data centers using 100% renewable energy, focusing on sustainability and positive community impact.Position Summary The Senior Data Platform Engineer will design, build, and operate a scalable data platform that supports reliable collection, transformation, and storage of operational data. This role spans both pipeline development and underlying data infrastructure, ensuring systems are performant, resilient, and scalable across distributed environments.Key ResponsibilitiesDesign, build, and operate a scalable data platform, including pipelines, storage systems, and compute layers.Architect and maintain distributed data systems for high-throughput ingestion and low-latency querying.Build and optimize ETL/ELT workflows using Apache Airflow, including authoring and maintaining Python-based DAGs.Develop and manage data integrations across internal and external systems in on-prem, hybrid, and cloud environments.Operate and optimize bare metal clusters and self-hosted data ecosystems (e.g., Hadoop/Spark).Maintain and scale data warehouses and analytical databases (e.g., ClickHouse, Postgres, InfluxDB).Implement robust partitioning, replication, and clustering strategies for large-scale datasets.Optimize query performance at scale, including indexing strategies, data modeling, and execution tuning.Work closely with operations and engineering teams to deliver high-quality, reliable datasets.Document data architecture, workflows, and platform components for long-term maintainability.Required QualificationsBachelor’s degree in Software Engineering, Computer Science, Data Science, or related fields.8+ years of experience in Data Engineering with data platform ownership and distributed systems.Proven experience building or operating distributed databases such as ClickHouse, Cassandra, Druid, Pinot, or BigQuery.Experience with self-hosted big data ecosystems (e.g., Hadoop, Spark).Strong knowledge of data storage formats (Parquet, ORC) and modern table formats (Hudi, Iceberg, Delta Lake).Deep understanding of data partitioning, replication, and distributed system design, including query performance tuning at scale.Experience working in on-premises, hybrid infrastructure environments or bare metal clusters.Experience designing scalable ETL/ELT pipelines with workflow orchestration tools such as Apache Airflow.Ability to operate in a fast-paced, high-availability environment.Strong problem‑solving skills for complex, large-scale systems.BenefitsCompensation: Base salary $130,000‑$170,000 CAD per annum; potential annual incentive bonus and equity; relocation assistance when applicable.Health & Wellness: Medical, dental, vision fully covered; company‑paid life and disability insurance; voluntary life & critical illness coverage; Employee Assistance Program and virtual health care platform.Financial Well‑Being: RRSP with company match; voluntary TFSA.Time Off & Flexibility: 3 weeks vacation plus paid holidays; flexible work arrangements.Growth & Development: Advancement & internal mobility; training and personal development opportunities.Lifestyle & Culture: Company events and team‑building activities.Equal Opportunity Employer Podtech Data Centers Inc., the employing entity and proud member of the IREN Group, is an equal opportunity employer committed to creating an inclusive workplace. We evaluate qualified applicants without regard to race, colour, religion, age, sex, sexual orientation, gender identity, genetic information, national origin, disability, veteran status, and other legally protected characteristics.#J-18808-Ljbffr