Senior Data Architect / Data Architect

EPAM Systems; Hyderabad; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

EPAM Systems is seeking a Senior Data Architect to lead enterprise-scale data transformations and modern data platforms in a Hybrid cloud environment. You will define architecture strategy, oversee multi-source ecosystems and drive data governance, quality, and security across the organization.

The ideal candidate brings 20+ years of IT experience with a proven track record in large-scale data programs, hands-on Python/PySpark, and strong stakeholder communication at the executive level.

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.
• 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.

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) with metadata management, lineage and 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 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.

Skills

Enterprise Data Architecture

Data Governance

Data Quality

Python

PySpark

Gen AI architecture

Semantic search

Vector indexing

Executive communication

Stakeholder management

Tools

Snowflake

Databricks

Informatica

AWS

Azure

Spark

Job description

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 without shifting focus away from strong data foundations.

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