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Data Platform Development & DataOps

hytech · Downtown Core, Central Singapore, Singapore

Data Science / AI / Machine LearningExternal listingfull-timeabout 1 month ago

About The Role

About Hytech Hytech is a leading fintech company, pioneering innovative financial technology solutions that empower clients to manage their finances with unmatched efficiency, security, and convenience. As a trailblazer in the fintech industry, we are committed to driving digital transformation and redefining the future of finance through our cutting-edge platforms and applications. With a global team of over 2000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morrocco, Cyprus etc. Role Overview Own the company-wide data platform - a unified foundation for warehousing, ML, risk and business teams. Lead the real-time Data platform powering real-time risk decisioning, fraud detection and real-time profiles. Drive the Databricks platform layer - Workflows, Unity Catalog, ACL and CI/CD with DABs / IaC. Build a self-service data portal: development, scheduling, monitoring, SLA, lineage and asset catalog. Own platform reliability, capacity planning and FinOps; set SLOs and lead post-mortems for P0 / P1 incidents. Partner with SRE, Security and Compliance on encryption, masking, row-level access, audit and regulatory requirements. Set the quarterly roadmap and build a platform-as-product culture. Requirements Bachelor's or above; 8+ years in big-data / data-platform engineering; 3+ years as tech lead of a platform team. Source-level debugging in at least one of Spark / Flink / Kafka. Deep lakehouse expertise (Delta Lake / Iceberg / Hudi) with production migration or greenfield build. Hands-on Databricks: Workspaces, Workflows, Unity Catalog, DLT, Photon, DABs. Hands-on Alibaba Cloud stack: DataWorks / MaxCompute / Realtime Flink / Hologres / DataHub. Solid with K8s, Terraform, CI/CD; able to put the platform under IaC. Familiar with financial data security, privacy and regulatory requirements (classification, cross-border, audit trail). Strong systems thinking, platform-as-product mindset and executive communication.

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