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 platforms• Strong troubleshooting, performance-tuning and cost-optimisation skills• Excellent solution-design, documentation and stakeholder-management capability
Highly regarded• Databricks certification• Unity Catalog and enterprise data-governance experience• MLflow or MLOps experience• Structured Streaming or Kafka• 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.
If you’re an experienced Databricks architect who enjoys designing solutions, solving complex technical problems and leading enterprise delivery, apply now or contact me for a confidential discussion.