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
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