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.