Pay & Compensation
This range is provided by VidPro Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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: 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: Design and deploy cloud‑native data architectures using Azure Data Lake, Azure Synapse, Azure Data Factory, and integration with Databricks.
- Data Engineering – Spark, PySpark, and Python: Build scalable, high‑performance ETL/ELT pipelines, write optimized production‑grade Python code for data transformation and orchestration.
- Data Warehousing & SQL: Dimensional modeling and complex SQL queries for analytics and reporting.
- Governance – Unity Catalog: Implement and manage metadata, access control, and data lineage.
- Reporting Tools – Power BI or equivalent: Build insightful dashboards and visualizations.
Required Experience
10–15 years in the field, with significant leadership experience.
Locations
Work Mode
Hybrid
Employment Type
Full‑time
Seniority Level
Director