Assistant Manager - Data Platform Technical Lead, Jurong East

Join Mercedes-Benz Singapore's Data Operations Hub team and drive data excellence! We are looking for a highly skilled Data Platform Technical Lead to spearhead the design, development, management, and operation of our enterprise data platform built on Azure and Databricks. This is a 1-year contract (renewable), offered through an agency, where you will play a pivotal role in shaping our data ecosystem. You will be fully integrated into data operations and work closely with cross-functional teams — including data source system owners, application teams, data engineers, and business stakeholders, to deliver robust, scalable, secure, and business-aligned data platform.
Key Responsibilities Provide technical leadership for the architecture, development, and operation of the company's data platform based on Azure Databricks and the Azure data ecosystem. Lead the end-to-end design of data pipelines, ingestion frameworks, ELT/ETL processes, and Lakehouse data models (Bronze/Silver/Gold). Partner with data source system teams to design efficient, reliable, and secure data integrations. Oversee the implementation of data governance, access control, and metadata management using Unity Catalog. Ensure platform scalability, performance optimization, and cost efficiency, including cluster management, workflow automation, and FinOps best practices. Drive the establishment and enforcement of coding standards, data engineering best practices, CI/CD workflows, and platform-level operational guidelines. Guide the team in troubleshooting, incident resolution, and continuous improvements of data platform reliability. Mentor data engineers and analysts, enabling them to adopt best practices in Databricks, Delta Lake, and distributed data processing. Collaborate with business units to translate data requirements into scalable technical solutions. Perform other assigned responsibilities as needed.
Qualifications 5+ years of experience in data engineering, data platform development, or related technical roles. Strong hands-on experience with Azure Databricks, Delta Lake, Spark, and Unity Catalog. Solid understanding of Azure services such as Data Lake Storage Gen2, Azure Data Factory, Key Vault, Event Hub, Synapse, or Azure Functions. Experience in building scalable data ingestion, ETL/ELT, and workflow orchestration. Strong understanding of data modelling, Lakehouse design, and distributed computing. Experience with CI/CD pipelines (Azure DevOps/GitHub Actions). Proven ability to lead technical discussions and drive architectural decisions. Excellent communication and stakeholder management skills.
Additional Information Valid Singapore work visa required. Open to candidates at all experience levels; responsibilities will be tailored accordingly. Only shortlisted candidates will be contacted.
Apply today and join us in shaping the future of data-driven innovation at Mercedes-Benz!