Director / Associate DIrector - Cloud Engineering (Azure)

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