Jobs → Data & Analytics → Databricks Architect

About the Role We are looking for an experienced Databricks Architect to design and deliver enterprise-grade data platforms on the Lakehouse. Key Responsibilities • Architect scalable, performant and cost-efficient data platforms • Troubleshoot complex platform challenges and recommend the right patterns for business and technical needs • Lead technical delivery and advise clients Requirements • 12-15+ years in Data Engineering, Data Platforms and Modern Data Warehousing, with 10+ years in consulting or client-facing delivery • 6-8+ end-to-end Databricks implementations as a hands-on developer, tech lead or solution architect • Deep Apache Spark expertise: performance tuning, partitioning, execution plans, memory management • Strong hands-on work with Delta Lake, Unity Catalog, Delta Live Tables, Workflows, MLflow and Structured Streaming • Cloud-native platform design on AWS, Azure and/or GCP (deep in at least one) • CI/CD for production data solutions (Azure DevOps, GitHub Actions, GitLab CI/CD or Jenkins) • Working knowledge of MLOps: model deployment, lifecycle management and monitoring Preferred • Databricks Data Engineer Professional certification (or equivalent) • Databricks Solutions Architect Champion program