
Cognizant
Senior Databricks Engineer
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 24/10/2026
Job overview
Date posted
09/09/2026
Location
Dubai, 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
24/10/2026
Job description
Databricks sits at the center of this Senior Engineer role, tasked with driving next generation platform uplift and defining best practices across the Lakehouse environment. Delivery leadership runs through the position too, since modernization of the Databricks platform and adoption of advanced features both fall under this remit. You design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions, building the technical backbone the wider platform depends on. Unity Catalog, DQX, DB Genie, and AI/BI workloads all get implemented and optimized, keeping governance and performance aligned across the platform. Engineering best practices, governance, and automation frameworks get established from this seat, setting the standard the rest of the team works to. Individual contribution sits alongside mentoring, since the role also means guiding technical decision making across the organization. PySpark, Streaming, DBR, Lakeflow, UC, DQX, DB Genie, and Delta Lake all come up regularly in day to day work, alongside exposure to ADF, Synapse, and Azure DevOps. Large scale Databricks or Lakehouse transformation projects sit behind the kind of leadership experience this role expects.
Required skills
Key responsibilities
- Lead modernization of the Databricks platform and adoption of advanced features
- Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions
- Implement and optimize Unity Catalog, DQX, DB Genie, and AI/BI workloads
- Establish engineering best practices, governance, and automation frameworks
- Mentor teams and guide technical decision making across the organization
- Contribute individually as a hands-on engineer alongside mentoring and leadership duties
Experience & skills
- Bring around 5+ years in data or platform engineering with deep Databricks expertise
- Show strong hands-on experience with PySpark, Streaming, DBR, Lakeflow, UC, DQX, DB Genie, and Delta Lake
- Carry experience with ADF, Synapse, and exposure to Azure DevOps
- Demonstrate proven leadership in large-scale Databricks or Lakehouse transformation projects
- Apply strong out of the box thinking, problem-solving, and deliverables leadership
- Guide technical decision making across teams while balancing hands-on delivery work