Platform Engineer

Role Overview We are seeking a Senior Platform Engineer to design, secure, and optimize our enterprise data infrastructure. You will own the foundational architecture of our Databricks Lakehouse, ensuring data teams can build efficiently within a secure, high-performance, and cost-controlled ecosystem. Key Responsibilities Infrastructure Management: Architecture, deployment, and daily support of enterprise Databricks Workspaces Data Governance: Full implementation of Unity Catalog for data lineage and access control Guardrails & Governance: Designing global cluster policies to balance user agility with cost Performance Tuning: Optimizing complex Spark configurations, storage layouts, and query speeds Innovation Delivery: Productionizing cutting-edge capabilities like Databricks Genie and Lakehouse Apps Required Technical Skills Data Platform: Advanced Databricks administration (Workspaces, Unity Catalog, Delta Lake) Cloud Infrastructure: Strong experience with AWS, Azure, or GCP via Terraform (IaC) Compute Optimization: Deep knowledge of Apache Spark internals and Spark UI tuning Security & Compliance: Implementing Role-Based Access Control (RBAC) and data masking CI/CD Pipelines: Building automated deployment tracks using Git, GitHub Actions, or GitLab CI Soft Skills & Qualifications Experience: 8+ years in Platform, DevOps, or Data Infrastructure Engineering Collaboration: Ability to bridge the gap between Data Science teams and IT security Problem Solving: Strong root-cause analysis skills for complex, distributed computing issues