Senior Data Platform Engineer

Senior Data Platform Engineer focuses on leading solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.

What the role involves

• Leading solution design activities, collaborating with peers and mentoring junior colleagues to define and execute the team backlog.
• Test, and document scalable ETL/ELT data pipelines and workflows using Databricks and Azure Synapse to ingest and transform data from a variety of sources.
• Maintain Azure data platform components including Synapse, Databricks, ADLS Gen2, Key Vault, networking (VNets, NSGs, Managed Private Endpoints) and access control (RBAC, ACLs).
• Managing infrastructure-as-code across Dev, Staging, and Production environments using Pulumi (and equivalents such as Terraform.
• Operate CI/CD pipelines using GitHub Actions (with OIDC federation) and/or Azure DevOps, supporting trunk-based development practices.
• Administer Databricks workspaces - cluster policies, Secret Scopes, Repos/Git integration, Workflow job health, and Unity Catalog governance.

Skills and requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field, with 6 10 years of relevant experience in data engineering and Azure platform administra.
• Cloud-native data modelling and ETL/ELT frameworks on Azure.
• Azure certifications: AZ-104, AZ-400, DP-203.
• Azure Data Factory (ADF), Microsoft Purview, Microsoft Fabric.

Candidate fit

• automation discipline, troubleshooting, documentation, and confidence with operational reliability