Azure + Databricks

Job Title: Azure Data Engineer

Experience : 8 to 12 years

Location : Mumbai (only)

Job Summary:

As a Manager in the Data Engineering practice, you will lead teams and client engagements to design, architect, and deliver enterprise-grade data platforms. You’ll drive data modernization initiatives involving data lakes, warehouses, and lakehouses on Azure, AWS, and Databricks. This role demands strategic leadership, hands-on technical depth, and client management experience.

Roles & Responsibilities:

• Architect and oversee end-to-end data engineering solutions for large-scale enterprise clients.
• Design data lakehouse, data warehouse, and data integration frameworks using Azure, Databricks, and other cloud platforms.
• Lead teams in building scalable, secure, and high-performing data pipelines.
• Define best practices for data governance, lineage, quality, and cost optimization.
• Collaborate with client leadership to shape data strategy and modernization roadmaps.
• Provide technical mentorship to Senior Associates and Associates.
• Manage project delivery, timelines, budgets, and resource allocation.
• Stay updated with emerging tools in data engineering and recommend adoption.

Skills Required:

• 8–12 years of experience in data engineering with proven leadership in project delivery.
• Strong expertise in Azure ecosystem (ADF, Databricks, Synapse, ADLS).
• Experience designing and deploying data lakehouse and ETL architectures.
• Hands-on knowledge of PySpark, SQL, Python, and cloud data architecture.
• Working knowledge of AWS or GCP data services is a plus.
• Strong understanding of data governance, security, and DevOps for data.
• Excellent client management, communication, and leadership skills.
• Cloud certifications (Azure Data Engineer, Databricks) preferred.