onsite
Databricks Solution Architect - Cognizant
Solutions Architect
Lead cloud‑native data platform design and implementation using Databricks and Spark, driving revenue growth through strategic partner collaboration and advanced data engineering solutions.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end Databricks solutions on Azure and AWS, ensuring scalability, performance, and security.
- Collaborate with cloud partners and internal stakeholders to define data strategy, governance, and best practices.
- Lead technical workshops, demos, and proof‑of‑concepts to showcase value to prospects and customers.
- Mentor and coach cross‑functional teams on Spark, Python, and data engineering fundamentals.
- Drive continuous improvement of deployment pipelines, monitoring, and cost optimization.
Requirements
- 5+ years of experience designing and deploying Databricks solutions in enterprise environments.
- Strong proficiency in Apache Spark, Python, and SQL with hands‑on data engineering skills.
- Deep knowledge of cloud platforms (Azure Databricks, AWS Glue, Azure Data Factory).
- Excellent communication and stakeholder management abilities.
- Certifications such as Databricks Certified Professional or Azure/AWS data engineering are a plus.
Skills
databricksapache sparkpythonsqlazureaws