Role: Director / Associate Director - Cloud Engineering (Azure Stack)
Experience: 1015 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
