About the Role You will help develop the future of our Hadoop/Hive & Trino query engines, expand into our in-house developed storage solution, and maintain technical excellence addressing challenging problems. You will work with a distributed team across Japan, Korea, and Canada and contribute to the roadmap with your team. Responsibilities Design and develop Hadoop/Hive & Trino solutions, providing technical expertise for modern data architecture assessment and use case development Establish engineering standards for design, development, tuning, deployment, and maintenance of advanced data access frameworks and distributed systems Collaborate with your team to define product roadmaps based on operational needs and customer-requested features while mentoring and training new team members Own version and release management, including baseline evaluation, patch backporting, and deployment of customer-facing features Coordinate with Support and Product teams on release cycles and feature delivery Contribute to Hadoop/Hive & Trino OSS through bug fixes, new features, and technical documentation Partner with SRE to automate cluster operations, reducing operational overhead through automated lifecycle management and load balancing workflows Design and implement observability solutions, including health metrics, capacity planning tools, and automated failure detection and recovery systems Provide expert customer support, including on-call responsibilities, escalation handling, and in-depth troubleshooting of performance and defect issues Develop custom technical solutions, including user-defined functions (UDFs) and specialized tooling for Hadoop/Hive & Trino Requirements 5+ years building and operating distributed systems Strong Java and deep understanding of algorithms, data structures, and distributed systems fundamentals Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure Strong capability in implementing new and improved data solutions for multi-tenant environments Experience in developing use cases, functional specs, design specs, etc. Experience working with distributed, scalable Big Data stores or NoSQL, including HDFS, S3, Cassandra, Big Table, etc. Strong analytical and communication skills; able to influence across Product, SRE, and Support Nice to Have Understanding of the capabilities of Hadoop/Hive or Trino Proven experience operating production query engines on a petabyte scale Microservices architecture, data integration patterns, and extending OSS Infra-as-Code, SRE practices, and advanced observability UDF development and familiarity with data visualization ecosystems Security and privacy-by-design expertise Experience with storage patterns and optimizations for massive parallel processing Physical Requirements Working out of our Vancouver, BC office according to our “Global Hybrid Working Policy.” Travel Requirements Travel typically 5% of the year, including one week in Japan annually, another in Mountain View, CA, and possibly an additional week elsewhere. Perks and Benefits Competitive compensation packages Restricted Stock Units (RSU) Paid vacation and sick time Paid volunteer and mental health days Up to 26 weeks paid parental leave including a post-partum night nurse 16 Company holidays (includes 2 floating holidays) RRSP with 6% company match Employer provided Supplemental medical, dental, disability & life coverage Comprehensive support and access to care for everyone, everywhere through Carrot - our global reproductive health and family-building benefit #J-18808-Ljbffr