The Databricks Architect is a subject matter expert in the Databricks Lakehouse Platform.
This role involves designing and implementing large-scale data solutions, migration strategies, and best practices for data engineering, data science, and BI teams leveraging Databricks across a cloud setting.
Key Responsibilities
Lakehouse Design: Design and build optimized data architectures (e.g., Bronze, Silver, Gold layers) within the Databricks Lakehouse using Delta Lake.
Platform Governance: Establish governance, security, and best practices for the Databricks environment, including cluster management, workspace security, and Unity Catalog implementation.
Performance Tuning: Optimize Spark jobs and notebooks for maximum performance and cost-efficiency on Databricks clusters.
Data Migration:



Lead the technical planning and execution of migrating existing data warehouses and data lakes onto the Databricks platform.
Integration: Architect integrations between Databricks and other enterprise tools, cloud services, and BI platforms (e.g., Tableau, Power BI).
Required Qualifications
Bachelor's degree in Computer Science or a related technical field.
6+ years of experience in data warehousing, data engineering, or cloud architecture.
3+ years of specific, deep experience designing and deploying solutions on the Databricks platform.
Expert proficiency in Spark, Python, and SQL.
Certification as a Databricks Certified Data Engineer or Cloud Architect is highly desirable.
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📌 Databricks Architect – Melbourne
🏢 Pan Asia Group
📍 Melbourne