Director / Associate Director - Cloud Engineering (Azure)

Role Overview: You are sought for the position of Director / Associate Director in Cloud Engineering (Azure Stack) specializing in Databricks. Your main responsibilities will include leading multiple client engagements, driving end-to-end project delivery, and managing 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. Key Responsibilities: - Bring in 14+ years of experience in data engineering, with at least 3 years in leadership/director-level roles - Showcase proven experience with Databricks, Delta Lake, and cloud data architecture - Demonstrate a strong track record of project delivery, team management, and client success - Utilize 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 Qualifications: - Possess full-platform expertise for scalable data solutions with strong hands-on experience in 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. - Have 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. - Demonstrate a 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. - Show proven experience in designing data warehouses or lakehouses, dimensional modeling, and writing complex SQL queries for analytics and reporting. - Exhibit hands-on experience implementing Unity Catalog for managing metadata, access control, and data lineage in Databricks. - Be proficient in working with business teams to build insightful dashboards and visualizations using Power BI or similar reporting tools. Additional Details: The company is seeking a highly skilled professional with expertise in cloud engineering, Azure, Delta Lake, data engineering, SQL, Python, cloud architecture, ETL, Unity Catalog, Power BI, Spark, directors, and leadership.,