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 solid 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

📌 Senior Data Architect / Data Architect (Pune)
🏢 EPAM Systems
📍 Pune