Senior Databricks Solution Architect

Senior Databricks Solution Architect | Sydney

We’re partnering with a specialist technology consultancy that is expanding its Databricks capability across Australia and the wider APAC region.

This is an opportunity to design and deliver enterprise-scale Databricks Lakehouse platforms, lead complex implementations and provide technical direction across major data‑modernisation initiatives.

We’re looking for an experienced architect who combines strong solution-design capability with genuine hands‑on expertise across Databricks, Spark and modern cloud data platforms.

What you’ll be doing

• Designing enterprise Databricks Lakehouse solutions
• Defining workspace architecture, cluster strategy, security models and operational standards
• Designing Delta Lake and Medallion architectures across Bronze, Silver and Gold layers
• Architecting scalable data pipelines using Databricks, Apache Spark, PySpark and SQL
• Leading Databricks implementations, migrations and production deployments
• Improving platform performance, reliability and cost efficiency
• Establishing data-quality frameworks and schema-evolution strategies
• Implementing governance through Unity Catalog, access controls, lineage and auditing
• Producing architecture documentation and leading technical design discussions
• Working with engineering teams and enterprise stakeholders throughout delivery

What we’re looking for

• Strong hands‑on Databricks architecture experience
• Proven delivery of enterprise‑scale Databricks solutions
• Deep knowledge of Apache Spark, PySpark, SQL and Delta Lake
• Strong understanding of Lakehouse and Medallion architecture
• Experience with enterprise ETL/ELT, data modelling and data engineering
• Azure, AWS or Google Cloud data‑platform experience
• Knowledge of Databricks Workflows, Jobs, Notebooks, Repos and cluster management
• Experience implementing CI/CD practices for modern data platformsStrong troubleshooting, performance‑tuning and cost‑optimisation skills
• Excellent solution‑design, documentation and stakeholder‑management capability

Highly regarded

• Unity Catalog and enterprise data‑governance experience
• MLflow or MLOps experience
• Experience supporting AI and machine‑learning workloads
• Data‑platform migration and Lakehouse‑transformation experience

Why consider it?

• Permanent position based in Sydney
• Australian‑standard employee benefits
• Opportunity to work on enterprise Databricks transformation programs
• Influence over platform architecture, governance and engineering standards
• Hands‑on technical work combined with strategic solution design
• Exposure to modern data, cloud and AI‑enabled platforms
• Opportunity to contribute to a growing Databricks capability

Candidates must be available immediately or have a maximum notice period of 30 days.

The selection process includes two technical interviews followed by one client interview with Databricks.

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