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.