Role: Director / Associate Director - Cloud Engineering (Azure Stack)

Experience: 10–15 Years

Locations: Hyderabad, Pune, Bangalore

Work Mode: Hybrid

Role Overview

We are seeking a Director / Associate Director – Cloud Engineering (Azure Stack) with a strong specialization in Databricks to lead multiple client engagements, drive end-to-end project delivery, and manage high-performing engineering teams. This strategic leadership role requires hands-on technical expertise, excellent project and people management skills, and a track record of delivering large-scale data engineering solutions in cloud-native environments.

Responsibilities

14+ years in data engineering, including 3+ years in leadership/director-level roles
Proven experience with Databricks, Delta Lake, and cloud data architecture
Strong track record of project delivery, team management, and client success
Excellent communication and leadership skills in fast-paced environments
Oversee and deliver multiple Databricks-based data engineering projects
Manage project budgets, costing, staffing, and client expectations
Lead and mentor engineering teams across engagements
Collaborate with clients on architecture, strategy, governance, and reporting
Ensure high-quality delivery aligned with best practices and business value

Required Skills

Strong hands-on experience with Databricks
Deep hands-on experience with Azure data services
Strong background in building scalable ETL/ELT pipelines
Proven experience in designing data warehouses or lakehouses
Hands-on experience implementing Unity Catalog
Ability to work with business teams to build dashboards

Qualifications

Databricks – Full-platform expertise for scalable data solutions: Strong hands-on experience with Databricks for building and managing ETL pipelines, Delta Lake, notebooks, and job orchestration. Skilled in cluster optimization, workspace management, and integrating Databricks with Azure services.
Cloud – Azure (preferred), or similar cloud environments: Deep hands-on experience with Azure data services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and integration with Databricks. Ability to design and deploy cloud-native data architectures.
Data Engineering – Spark, PySpark, and Python for scalable data processing: Strong background in building scalable, high-performance ETL/ELT pipelines using Spark and PySpark. Ability to write optimized, production-grade Python code for data transformation, orchestration, and automation in distributed environments.
Data Warehousing & SQL – Designing and querying enterprise data models: Proven experience in designing data warehouses or lakehouses, dimensional modeling, and writing complex SQL queries for analytics and reporting.
Governance – Implementation and management of Unity Catalog: Hands-on experience implementing Unity Catalog for managing metadata, access control, and data lineage in Databricks.
Reporting Tools – Power BI or similar (Tableau, Looker, etc.)
Ability to work with business teams to build insightful dashboards and visualizations using Power BI.

Skills: cloud engineering,azure,delta lake,data engineering,sql,python,cloud architecture,elt,unity catalog,power bi,etl,spark,directors,databricks,pyspark,azure data services,data warehouse,leadership,reporting tools

Director / Associate DIrector - Cloud Engineering (Azure)