🛠 Tech Stack

💼 About This Role

You'll lead end-to-end delivery of a modern data platform built on Azure, blending technical depth with client-facing leadership. Your core impact is driving execution across distributed teams to ensure scalable, high-quality solutions. This role stands out as critical to delivering a next-generation, AI-ready data platform.

🎯 What You'll Do

• Own end-to-end delivery of data platform initiatives from design to operate
• Drive sprint planning, execution, and tracking using Agile and JIRA
• Manage dependencies, risks, and escalations proactively
• Act as primary interface with client stakeholders to drive alignment

📋 Requirements

• Azure Databricks and OneLake/Fabric hands-on experience
• PySpark and Python for data engineering
• CI/CD pipeline implementation (Azure DevOps/GitHub)
• Agile delivery (Scrum/Kanban) and JIRA proficiency

✨ Nice to Have

• Experience with Microsoft Fabric ecosystem
• Exposure to data governance and metadata management frameworks
• Familiarity with AI/ML integration in data platforms

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Client Interview· 45 min