Data Solution Architect

EPAM Systems; India; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

EPAM Systems is seeking a skilled Data Solution Architect to design and architect scalable data solutions in big data and analytics. You will provide strategic direction and lead multi-disciplinary teams to ensure the successful integration of new technologies.

The ideal candidate should have over 12 years of IT experience, focusing on production architecture design and familiarity with data management approaches. The role offers opportunities to work with AI/ML technologies and cloud platforms like Azure and AWS.

Qualifications

• 12-16 years of experience in IT, including production architecture designs.
• Expertise in centralized, distributed, decentralized or federated data management.
• Proficient in at least one cloud platform like Azure, AWS, or GCP.
• Hands-on skills in Python, R, Scala, or Java.

Responsibilities

• Architect and design scalable solutions for big data analytics.
• Provide strategic vision for data ingestion, processing, and governance.
• Serve as a technical leader, offering guidance across teams.
• Define and implement architectures for data warehouses and lakes.

Skills

Data management approaches

Big Data technologies

Cloud platform proficiency

Prototype development

AI/ML technologies

Tools

Azure

AWS

GCP

Snowflake

Spark

Hadoop

Kafka

NoSQL databases

DevOps tools

Job description

We are seeking a skilled and experienced Data Solution Architect to architect and design scalable data solutions, drive technical innovation and provide strategic direction in big data and analytics.

Responsibilities

• Architect and design scalable solutions for big data analytics on cloud platforms
• Provide strategic vision for data ingestion, processing, security, governance and analytics scalability
• Serve as a technical leader, offering guidance across engineering and development teams
• Define and implement architectures for data warehouses and lakes based on business needs
• Evaluate and introduce architecture patterns such as Lambda, Kappa or Data Mesh into projects
• Optimize and monitor architecture for centralized, distributed, federated or decentralized data management
• Implement solutions leveraging AI/ML and Generative AI technologies for data-driven automation
• Collaborate with multi-disciplinary teams to ensure seamless integration of new technologies
• Develop prototypes using programming languages such as Python, Scala or Java for concept validation
• Implement and ensure DevOps and CI/CD best practices are followed throughout development
• Lead efforts around data security, protection and governance compliance

Requirements

• 12-16 years of experience in IT, including 2 or more production architecture designs or solution review activities over the past 2 to 3 years
• Knowledge of multiple architecture patterns such as DWH, Data Lake, Virtualization, Lambda, Kappa or Data Mesh
• Expertise in centralized, distributed, decentralized or federated data management approaches
• Background in AI/ML and Gen AI-related technologies
• Proficiency in at least one cloud platform such as Azure, AWS, GCP or Snowflake
• Understanding of Big Data technologies including Spark, Spark Streaming, Hadoop, Kafka, Hive, NoSQL databases like HBase or Cassandra and orchestration tools (Airflow, Oozie)
• Competency in at least 2 Data Management domains such as BI & Visualization, Data Integration, Data Engineering, Generative AI, Data Governance, Data Quality, Security and Storage
• Familiarity with DevOps and CI/CD tools like GitLab, Jenkins, Azure DevOps and containerization technologies
• Hands‑on skills in Python, R, Scala, Java or .NET for prototype and PoC development