Sr. Data / Data Solutions Architect - Databricks
EPAM Systems, Inc. (company site, opens in a new tab)12–22 yrsCoimbatoreOn-siteDirect career pageEst. 30–55 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and architecture of scalable, governed data solutions leveraging lakehouse and warehouse patterns to support enterprise analytics and AI.
- Oversee cloud modernization and migration initiatives specifically involving Azure Databricks and Databricks Lakehouse.
- Ensure delivery of secure, cost-effective cloud data platforms meeting scalability, performance, governance, and cost goals while mentoring cross-functional teams.
Minimum Requirements
- 12-22 years of senior IT experience with leadership in data architecture, solution architecture, or data engineering.
- Expert-level skills in Databricks, Apache Spark, Delta Lake, and advanced SQL on modern data platforms.
- Hands-on experience with at least one major cloud platform: Azure, AWS, or GCP for cloud-based data solutions.
- Work Experience Required: 12-22 years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced architect with strong background in building production-ready, scalable, secure data architectures using modern data patterns (lakehouse, data warehouse, lambda, kappa).
- Proven ability to lead and mentor multidisciplinary teams spanning data engineering, analytics, cloud, and DevOps in cloud modernization and migration projects, particularly on Databricks.
- Skilled in aligning technical architecture with business requirements and compliance needs, demonstrating advanced stakeholder management and communication abilities.