- Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads.
- Implement and optimise Databricks Delta Lake, Medallion Architecture, and Lakehouse patterns for structured and semi-structured data.
- Define and implement enterprise data governance, security, and compliance strategies.
- Lead the integration of core data management capabilities
- Collaborate with business stakeholders, data engineers, and analytics teams to ensure solutions are fit for purpose.
- Ensure best practices in Azure networking, security, and federated data access.
- 5+ years of experience in a similar role
- Strong expertise in Azure data services (Databricks, Event Hub, Data Explorer, Azure Storage, Purview)
- Experience with data integration, MDM, governance, and data quality tools
- Hands-on experience with Apache Spark, Python, SQL, and Scala
- Strong understanding of Azure networking, security, and IAM
- Experience with enterprise-scale data architecture patterns
- Excellent communication skills to engage with both technical and non-technical stakeholders.