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

- Robust 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
📍 Pune