We are seeking a Senior Data Solutions Architect - Databricks to shape scalable, secure data platforms for enterprise analytics and AI programs. You will translate business needs into up-to-date lakehouse and warehouse designs in the cloud, lead architecture reviews, and guide cross-functional delivery while ensuring governance and cost controls.

Responsibilities

• Translate business requirements into end-to-end data solution architectures
• Design solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns
• Lead architecture design, technical feasibility assessments, and solution reviews
• Design and support cloud data platforms and data modernization initiatives
• Drive migration and transformation projects involving Azure Databricks and Databricks Lakehouse
• Guide data engineering, analytics, cloud, and DevOps teams
• Ensure solutions meet scalability, performance, security, governance, and cost requirements

Requirements





• Extensive IT leadership experience (12-22 years) spanning data architecture, solution architecture, or data engineering
• Proven ability to design production-ready, scalable data architectures for enterprise use cases
• Hands-on experience with Azure, AWS, or GCP cloud services and data platforms
• Deep knowledge of Databricks, Apache Spark, and Delta Lake in real-world implementations
• Strong proficiency in SQL and modern data platforms
• Solid understanding of batch and streaming patterns, ETL/ELT, data modeling, and data governance
• Excellent communication skills with strong stakeholder management and structured problem-solving

Nice to have

• Ability to work with Python, Java, or Scala
• Familiarity with Informatica MDM, Celonis, or Azure Data Factory
• Background supporting cloud migration or data and AI platforms

📌 Sr. Data (Bengaluru)
🏢 EPAM Systems
📍 Bengaluru