Sr. Data / Data Solutions Architect - Databricks

EPAM Systems

Coimbatore District

On-site

INR 3,000,000 - 7,000,000

Full time

22 hours ago
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Job summary

EPAM Systems is seeking a Senior Data Solutions Architect to lead scalable, governed data platforms across enterprise analytics and AI work. You will architect lakehouse and warehouse patterns, guide cloud modernization and Azure Databricks migrations, and ensure teams deliver secure, cost-efficient platforms.

You will mentor data engineering, analytics, cloud, and DevOps teams while upholding governance, performance, and security across cloud data platforms.

Qualifications

  • Senior-level IT experience (12-22 years) with leadership in data architecture or data engineering.
  • Proven ability to design scalable, secure data architectures for enterprise analytics.
  • Hands-on experience with cloud data platforms (Azure, AWS, or GCP).

Responsibilities

  • Map business requirements to end-to-end data solution architectures.
  • Develop lakehouse, data warehouse, and data lake patterns.
  • Lead architecture design, feasibility assessments, and reviews.
  • Design and maintain cloud data platforms and modernization initiatives.
  • Lead migration to Azure Databricks and Databricks Lakehouse.
  • Coordinate and mentor data engineering, analytics, cloud, and DevOps teams.
  • Ensure architectures meet scalability, performance, governance, and cost requirements.

Skills

Leadership
Data architecture
Data governance
Communication
Problem-solving

Tools

Databricks
Apache Spark
Delta Lake
Azure Databricks
Cloud platforms (Azure/AWS/GCP)

Job description

We are looking for a Senior Data Solutions Architect, Databricks to lead the design of scalable, governed data solutions supporting enterprise analytics and AI work. You will architect lakehouse and warehouse patterns, guide cloud modernization and Azure Databricks migrations, and ensure teams deliver secure, cost-effective platforms.

Responsibilities
  • Map business requirements to end-to-end data solution architectures
  • Develop solutions using Data Warehouse, Data Lake, Lakehouse, Lambda, and Kappa architecture patterns
  • Direct architecture design efforts, technical feasibility assessments, and solution reviews
  • Design and maintain cloud data platforms and data modernization initiatives
  • Lead migration and transformation initiatives involving Azure Databricks and Databricks Lakehouse
  • Coordinate and mentor data engineering, analytics, cloud, and DevOps teams
  • Ensure architectures meet scalability, performance, security, governance, and cost requirements
Requirements
  • Senior-level IT experience (12-22 years) including leadership in data architecture, solution architecture, or data engineering
  • Strong track record of creating production-ready data architectures with scalability and security in mind
  • Hands-on exposure to Azure, AWS, or GCP for cloud-based data solutions
  • Expert-level knowledge of Databricks, Apache Spark, and Delta Lake
  • Advanced SQL skills and experience with modern data platforms
  • Thorough understanding of batch and streaming approaches, ETL/ELT, data modeling, and data governance
  • Outstanding communication and stakeholder management skills with a problem-solving mindset
Nice to have
  • Hands-on ability with Python, Java, or Scala
  • Knowledge of Informatica MDM, Celonis, or Azure Data Factory
  • Prior work in cloud migration or data and AI platform programs
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