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!
