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Associate Director
4 weeks ago
About the Company: We are a leading technology firm dedicated to providing innovative data solutions that empower businesses to harness the full potential of their data. Our mission is to drive success through cutting-edge technology and exceptional service, fostering a culture of collaboration, integrity, and continuous improvement.
About the Role: We are hiring a Director of Databricks Engineering to lead multiple client engagements, drive project delivery, and manage high-performing engineering teams.
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
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.
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
Preferred Skills:
- Experience with additional cloud environments
- Familiarity with other reporting tools
Pay range and compensation package: Competitive salary based on experience and qualifications.
Equal Opportunity Statement: We are committed to creating a diverse and inclusive workplace. We encourage applications from all qualified individuals, regardless of race, gender, age, sexual orientation, disability, or any other characteristic protected by law.
