Cognizant
Senior Databricks Lead Engineer
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
- Urgent
Job expiry date: 06/03/2026
Job overview
Date posted
20/01/2026
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
06/03/2026
Job description
The Senior Databricks Lead Engineer at Cognizant is a strategic and hands-on leadership role responsible for driving next-generation Databricks Lakehouse platform modernization. The role combines deep technical individual contribution with architectural influence, governance definition, and engineering leadership across enterprise-scale data platforms. The successful candidate will lead Databricks transformations, define best practices, and guide teams in delivering scalable, secure, and high-performance Lakehouse solutions while mentoring engineers and shaping technical direction across the organization.
Required skills
Key responsibilities
- Lead the modernization and uplift of the Databricks platform, adopting advanced Databricks and Lakehouse capabilities
- Design, build, and deliver scalable Lakeflow jobs, pipelines, and end-to-end Lakehouse solutions
- Implement and optimize Unity Catalog for governance, access control, and data security
- Deploy and enhance data quality frameworks using DQX and related tooling
- Enable and support DB Genie, AI/BI workloads, and advanced analytics use cases
- Define and enforce engineering best practices, coding standards, and platform governance
- Establish automation frameworks, CI/CD pipelines, and operational efficiencies
- Provide hands-on technical leadership while mentoring engineering teams
- Guide architectural decisions and challenge assumptions to drive optimal outcomes
- Collaborate across stakeholders to ensure delivery of large-scale Databricks transformation initiatives
Experience & skills
- 7+ years of experience in data or platform engineering with deep hands-on Databricks expertise
- Strong practical experience with PySpark, Databricks Runtime, Lakeflow, Delta Lake, Unity Catalog, DQX, and DB Genie
- Experience working with Azure Data Factory, Azure Synapse, and exposure to Azure DevOps
- Proven track record leading large-scale Databricks or Lakehouse transformation programs
- Demonstrated ability to combine individual technical contribution with team leadership
- Strong problem-solving mindset with out-of-the-box thinking
- Ability to set technical direction, influence architecture, and drive delivery outcomes
- Excellent communication skills to mentor teams and influence senior technical stakeholders