EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
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Define and drive enterprise-wide data architecture strategy aligned with business objectives
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Architect complex data landscapes across multi-source, hybrid and cloud ecosystems
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Design scalable, resilient and secure enterprise data platforms
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Lead data modernization, transformation and platform consolidation initiatives
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Establish enterprise data modelling standards (conceptual, logical, physical) along with metadata management, lineage and enterprise data standards
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Architect end-to-end data solutions including ingestion, transformation, storage, indexing and consumption
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Lead ETL/ELT design using Informatica, Databricks, Snowflake and cloud-native services
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Design lakehouse and modern data warehouse architectures alongside Big Data implementations using Spark, PySpark and Python
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Architect high-performance data retrieval, indexing and search frameworks plus complex data migration programs from legacy to cloud
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Establish enterprise Data Governance frameworks, MDM strategies and metadata governance with data quality, profiling, validation and monitoring mechanisms
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Ensure security, privacy and regulatory compliance across data platforms
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Architect Gen AI use cases leveraging enterprise data assets, including RAG-based frameworks, vector indexing and semantic search integrated with structured and unstructured data
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Collaborate with AI/ML teams to enable responsible and scalable AI adoption
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Lead presales solutioning, architecture discussions and executive business meetings as Chief Architect
Requirements
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20+ years of IT experience with a strong focus on Enterprise Data Architecture
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Proven leadership in large-scale data transformation programs
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Expertise in Data Architecture, Big Data and ETL Design
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Competency in Data Governance and Data Quality
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Strong experience in Snowflake, Databricks and Informatica
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Proficiency in AWS and Azure
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Hands-on capability in Python, PySpark and distributed data processing
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Knowledge of Gen AI architecture (RAG, semantic search, vector indexing)
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Strong executive communication and stakeholder management skills
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
