Senior Staff Software Engineer (Data Platform)
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Summary
Senior staff engineer at a biotech research company in Woodlands, Singapore, defining the architecture for a petabyte-scale, cloud-native lakehouse data platform. Day to day: design patterns for low-latency analysis, cost/performance ownership, and AI-assisted engineering, using Java, Python, Apache Iceberg, Parquet, AWS Glue, Spark/Trino and REST/gRPC.
about company
I am currently working with a well-known biotechnology research company. Office located in Woodlands - but there's shuttle bus provided from multiple MRT stations.
Attractive salary package! Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time.Will need to take 7am calls with US teams.
about job Define the technical architecture to build, modernize, and scale a cloud-native lakehouse and high-performance data platform Establish standardized design patterns for low-latency analysis on open table formats at petabyte/population scale Provide architectural leadership and partner closely with cross-functional global teams to translate scientific needs into commercial product strategy Own the operability, performance, and unit economics of the data platform. Orchestrating and cost-optimizing workloads spanning concurrent jobs Champion AI-assisted development tools and workflows to enhance engineering capabilities, productivity, and software quality Tech Stack: Java, Python, Apache Iceberg, Parquet, AWS Glue, Spark/Trino, REST/gRPC APIs
Requirements: Min 12 years of hands-on experience designing complex, large-scale data platforms or software architectures Strong hands-on experience with big data lakehouse architectures, specifically Apache Iceberg internals, Parquet columnar storage, and catalog services like AWS Glue Demonstrated experience with cloud hyperscalers (AWS, GCP, or Azure), containerization (Docker), orchestration, and infrastructure automation Demonstrated experience utilizing AI tools within software development workflows to accelerate productivity
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
Attractive salary package! Hybrid working arrangement - 2 days WFH. Working hours 8am to 5pm. Can end work early and have more personal time.Will need to take 7am calls with US teams.
about job Define the technical architecture to build, modernize, and scale a cloud-native lakehouse and high-performance data platform Establish standardized design patterns for low-latency analysis on open table formats at petabyte/population scale Provide architectural leadership and partner closely with cross-functional global teams to translate scientific needs into commercial product strategy Own the operability, performance, and unit economics of the data platform. Orchestrating and cost-optimizing workloads spanning concurrent jobs Champion AI-assisted development tools and workflows to enhance engineering capabilities, productivity, and software quality Tech Stack: Java, Python, Apache Iceberg, Parquet, AWS Glue, Spark/Trino, REST/gRPC APIs
Requirements: Min 12 years of hands-on experience designing complex, large-scale data platforms or software architectures Strong hands-on experience with big data lakehouse architectures, specifically Apache Iceberg internals, Parquet columnar storage, and catalog services like AWS Glue Demonstrated experience with cloud hyperscalers (AWS, GCP, or Azure), containerization (Docker), orchestration, and infrastructure automation Demonstrated experience utilizing AI tools within software development workflows to accelerate productivity
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)