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 contemporary 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
- Solid 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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📌 Senior Databricks Solution Architect (Sydney)
🏢 Kaliba
📍 Sydney