Director / Associate DIrector - Cloud Engineering (Azure)
18 hours ago
Role: Director / Associate Director - Cloud Engineering (Azure Stack)Experience: 10–15 YearsLocations: Hyderabad, Pune, BangaloreWork Mode: HybridRole 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 rolesProven experience with Databricks, Delta Lake, and cloud data architectureStrong track record of project delivery, team management, and client successExcellent communication and leadership skills in fast-paced environmentsOversee and deliver multiple Databricks-based data engineering projectsManage project budgets, costing, staffing, and client expectationsLead and mentor engineering teams across engagementsCollaborate with clients on architecture, strategy, governance, and reportingEnsure high-quality delivery aligned with best practices and business valueRequired Skills:Strong hands-on experience with DatabricksDeep hands-on experience with Azure data servicesStrong background in building scalable ETL/ELT pipelinesProven experience in designing data warehouses or lakehousesHands-on experience implementing Unity CatalogAbility to work with business teams to build dashboardsQualifications: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.
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