Director / Associate DIrector - Cloud Engineering (Azure)

2 weeks ago

Hyderabad, Telangana, India Vidpro Consultancy Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.



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