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 setting, 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.

📌 Databricks Architect – Melbourne
🏢 Pan Asia Software Solutions
📍 Melbourne