Data Platform Technical Lead (Azure & Databricks)

Singapore 3 days agoFull-time External
32.9k - 43.9k / mo
Job Description We are looking for a Data Platform Technical Lead to drive the design, build, and operation of a modern cloud-based data platform on Microsoft Azure and Databricks. This role is ideal for a hands-on senior data engineer who enjoys architecting scalable data solutions, setting engineering standards, and guiding teams on best practices—without being a people manager. You will work closely with data engineers, application teams, and business stakeholders to deliver a secure, reliable, and high-performing data platform that supports analytics and business decision-making. Key Responsibilities • Lead the technical design and evolution of an enterprise Azure Databricks data platform • Design and implement data ingestion, transformation, and orchestration pipelines • Build and maintain Lakehouse architecture (Bronze / Silver / Gold layers) • Implement data governance, access control, and metadata management using Unity Catalog • Collaborate with source system teams to deliver secure and reliable data integrations • Optimise platform performance, scalability, and cloud cost efficiency • Define and enforce data engineering standards, CI/CD practices, and operational guidelines • Troubleshoot complex platform issues and drive continuous improvements • Provide technical guidance and mentoring to data engineers and analysts • Translate business requirements into scalable technical data solutions Requirements • Minimum 5 years of experience in data engineering or data platform development • Strong hands-on experience with: • Azure Databricks • PySpark • Delta Lake • Unity Catalog • Proven experience with Azure Data Factory • Good understanding of distributed data processing and Lakehouse design • Experience building scalable ETL / ELT pipelines • Familiarity with CI/CD pipelines (Azure DevOps or GitHub Actions) • Strong communication and stakeholder engagement skills Working Hours: Monday to Friday, 9:00 AM – 6:00 PM . Work Arrangement: Hybrid (2 days onsite, 3 days remote). Work Location: Easily accessible to public transport, West Singapore #DataEngineering #DataPlatform #AzureDatabricks #AzureDataFactory #UnityCatalog #PySpark #DeltaLake