Lead Data Engineer
Posted Updated
Summary
Lead Databricks Architect / Lead Data Engineer in Singapore who designs and delivers enterprise-scale Databricks Lakehouse platforms on AWS — building medallion-architecture pipelines with Python, PySpark, SQL and Delta Lake, enabling AI/ML and GenAI workloads, governing with Unity Catalog, and driving CI/CD, Spark performance tuning and mentoring.
Job Description
. We are seeking an experienced Databricks Architect / Lead Data Engineer to lead the design, development, and delivery of enterprise-scale data platforms on Databricks and AWS.
. The role combines architecture leadership with hands-on engineering responsibilities, including building scalable Lakehouse solutions, modern data pipelines, and AI/ML workloads.
Key Responsibilities
. Design and own Databricks Lakehouse architecture on AWS. Lead multiple Databricks initiatives and mentor data engineers.
. Build and optimize data pipelines using Python, PySpark, SQL, and Delta Lake. Implement Medallion Architecture (Bronze, Silver, Gold layers).
. Develop batch, streaming, and near real-time data solutions. Enable AI/ML and Generative AI use cases on Databricks.
. Establish governance, security, Unity Catalog, RBAC, and operational controls. Integrate Databricks with AWS services including S3, IAM, networking, and data platforms.
. Drive CI/CD, automated testing, deployment automation, and observability.
. Troubleshoot and optimize Spark workloads for performance, reliability, and cost. Required Experience In Data Engineering experience.
. And hands-on Databricks experience. as a Databricks Architect or equivalent architecture role.
. delivering AI/ML or Generative AI solutions on Databricks. and AWS experience.