Director / Associate DIrector - Cloud Engineering (Azure)

VidPro Consultancy Services

Hyderabad

Hybrid

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

A leading consultancy firm in Hyderabad is seeking a Director / Associate Director – Cloud Engineering with a specialization in Databricks. The role involves leading projects, managing engineering teams, and ensuring successful project delivery in cloud-native environments. Ideal candidates have 14+ years of experience in data engineering and strong leadership skills. This position offers a hybrid working model and full-time employment.

Qualifications

  • 14+ years in data engineering including 3+ years in leadership/director-level roles.
  • Proven experience with Databricks and cloud data architecture.
  • Strong track record of project delivery and team management.

Responsibilities

  • Oversee and deliver multiple Databricks-based data engineering projects.
  • Manage project budgets, staffing, and client expectations.
  • Lead and mentor engineering teams across engagements.

Skills

Databricks
Azure data services
ETL/ELT pipelines
Spark
Python
Power BI

Job description

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.

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

Seniority level

  • Director

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Human Resources Services

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