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EPAM
Open role

Sr. Data / Data Solutions Architect - Databricks

EPAMCoimbatore, India; Chennai, India; Hyderabad, India; Bengaluru, India
Work model
Office
Experience
12-22 years
Employment
Not specified
Compensation
Not disclosed
Technology signal
18 tags

Technology context

18

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSGenAIJavaAzurePythonGCPCloudDevOpsScalabilitySparkDatabricksScalaSQLData LakehouseData Solution ArchitectureData WarehousingGenerative AI Fundamentals

Full listing

Role description

We are looking for an experienced Data Solutions Architect to design scalable, secure, and modern data solutions for enterprise data and AI initiatives.

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
  • Work on 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

  • 12-22 years of overall experience in IT, including experience in data architecture, solution architecture, or data engineering
  • Strong experience designing production-ready data architectures
  • Hands-on experience with Azure, AWS, or GCP
  • Strong knowledge of Databricks, Apache Spark, and Delta Lake
  • Proficiency in SQL and modern data platforms
  • Understanding of batch, streaming, ETL/ELT, data modeling, and data governance
  • Excellent communication, stakeholder management, and problem-solving skills

Nice to have

  • Proficiency in Python, Java, or Scala
  • Familiarity with Informatica MDM, Celonis, or Azure Data Factory
  • Background in cloud migration or data and AI platforms