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Requirements and responsibilities
Role OverviewWe 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 ResponsibilitiesInfrastructure 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 SkillsData 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 & QualificationsExperience: 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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