Platform Engineer

About the role

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.

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Company Intel

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