Senior Data Architect / Data Architect

EPAM Systems, Inc.; Pune District; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Unlimited access to LinkedIn Learning

Job summary

EPAM Systems, Inc. is seeking a highly experienced Senior Data Architect with over 20 years of experience leading enterprise-scale data transformations. The candidate will be responsible for architecting complex data ecosystems and modern data platforms while ensuring compliance and governance across data platforms.

This role offers opportunities for self-development and collaboration with AI/ML teams, making a significant impact across various geographies. Ideal candidates should have a proven track record in data governance and architecture.

Qualifications

• 20+ years of IT experience with a strong focus on Enterprise Data Architecture.
• Proven leadership in large-scale data transformation programs.
• Expertise in Data Architecture, Big Data and ETL Design.

Responsibilities

• Define and drive enterprise-wide data architecture strategy.
• Design scalable, resilient and secure enterprise data platforms.
• Lead data modernization, transformation and platform consolidation initiatives.
• Establish enterprise data modelling standards and governance frameworks.
• Architect end-to-end data solutions including ingestion, transformation, and storage.

Skills

Enterprise Data Architecture

Data Governance

Big Data

ETL Design

Data Quality

Snowflake

Databricks

Informatica

AWS

Azure

Python

PySpark

Gen AI architecture

Job description

Senior Data Architect / Data Architect

We are seeking a highly experienced Senior Data Architect / Data Architect with 20+ years of experience leading enterprise-scale data transformations. The role is responsible for architecting complex data ecosystems, modern data platforms, governance frameworks and enterprise-wide data strategies. The candidate should bring practical Gen AI architectural experience to enable intelligent data platforms, enhance search and retrieval systems and embed AI-driven capabilities into enterprise data landscapes.

Responsibilities

• Define and drive enterprise-wide data architecture strategy aligned with business objectives
• Architect complex data landscapes across multi-source, hybrid and cloud ecosystems
• Design scalable, resilient and secure enterprise data platforms
• Lead data modernization, transformation and platform consolidation initiatives
• Establish enterprise data modelling standards (conceptual, logical, physical) along with metadata management, lineage and enterprise data standards
• Architect end‑to‑end data solutions including ingestion, transformation, storage, indexing and consumption
• Lead ETL/ELT design using Informatica, Databricks, Snowflake and cloud-native services
• Design lakehouse and modern data warehouse architectures alongside Big Data implementations using Spark, PySpark and Python
• Architect high‑performance data retrieval, indexing and search frameworks plus complex data migration programs from legacy to cloud
• Establish enterprise Data Governance frameworks, MDM strategies and metadata governance with data quality, profiling, validation and monitoring mechanisms
• Ensure security, privacy and regulatory compliance across data platforms
• Architect Gen AI use cases leveraging enterprise data assets, including RAG-based frameworks, vector indexing and semantic search integrated with structured and unstructured data
• Collaborate with AI/ML teams to enable responsible and scalable AI adoption
• Lead presales solutioning, architecture discussions and executive business meetings as Chief Architect

Requirements

• 20+ years of IT experience with a strong focus on Enterprise Data Architecture
• Proven leadership in large-scale data transformation programs
• Expertise in Data Architecture, Big Data and ETL Design
• Competency in Data Governance and Data Quality
• Strong experience in Snowflake, Databricks and Informatica
• Proficiency in AWS and Azure
• Hands‑on capability in Python, PySpark and distributed data processing
• Knowledge of Gen AI architecture (RAG, semantic search, vector indexing)
• Strong executive communication and stakeholder management skills

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self‑development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn Learning solutions
• Possibility to relocate to any EPAM office for short and long‑term projects
• Focused individual development

Benefit package

• Health benefits
• Retirement benefits
• Paid time off
• Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)