Senior Data Platform Engineer
Core
Manage, optimize, and evolve the cloud-native data platform estate (Azure, Databricks, Unity Catalog) to ensure security, reliability, scalability, and cost-efficiency while delivering data pipelines and lakehouse solutions.
Role type
Senior Data Platform Engineer
Builds
Enterprise data platform estate, secure lakehouse solutions, and robust data pipelines
Domain
Cloud Data Engineering / Data Platform Engineering
Required skills
Azure, Databricks, Spark, PySpark, Delta Lake, SQL, Unity Catalog, Collibra, Immuta, Azure Data Factory, Terraform, CI/CD, Infrastructure as Code, Data Governance, Data Security, Observability, Cost Optimization
Preferred skills
Experience in regulated environments (legal/financial), Data Quality, Workload Management, Technical Leadership
Technologies
Microsoft Azure, Databricks, Unity Catalog, Collibra, Immuta, Azure Data Lake Storage, Delta Lake, Spark, PySpark, Python, SQL, Azure Data Factory, Terraform, Git, Azure DevOps, GitHub Actions
Responsibilities
Manage platform estate across Azure and Databricks; Monitor and optimize performance, workloads, storage, and compute; Design and maintain secure lakehouse solutions; Develop and optimize ingestion and ETL/ELT pipelines; Implement data access controls and governance workflows; Automate platform deployment via IaC and CI/CD; Lead incident investigation and root-cause analysis; Provide technical leadership and coaching to data engineers.
Seniority
Senior, hands-on IC
