We are seeking a Data Solution Architect, AWS, to lead data pipeline design and implementation for a cloud-native analytics and GenAI-enablement initiative, owning architecture decisions across data ingestion, transformation, storage, and search/retrieval infrastructure using AWS services.
Responsibilities
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Design and architect scalable data pipelines using AWS Glue for ETL orchestration, Lambda for event-driven processing, and S3 for data lake storage
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Define data architecture patterns aligned with AWS Well-Architected Framework principles for reliability, performance, and cost optimization
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Create technical specifications and architecture diagrams for data platform components
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Lead development of Python and PySpark solutions for large-scale data processing and transformation
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Architect OpenSearch and vector database solutions to support semantic search, retrieval-augmented generation, and AI/ML workloads
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Design data models and pipelines that enable advanced analytics including regression analysis and NLP applications
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Provide architectural guidance on GenAI strategy, advisory, and operational integration with existing data infrastructure
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Design infrastructure patterns that support machine learning model training, inference, and deployment workflows
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Advise on data preparation and feature engineering approaches for ML/AI use cases
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Establish CI/CD patterns for data pipeline deployment and infrastructure-as-code practices
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Collaborate with engineering teams to ensure data platform components meet operational excellence standards
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Support knowledge transfer and technical documentation for sustained delivery
Requirements
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7+ years of experience in data analytics engineering
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High proficiency in PySpark
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Advanced expertise in AWS Glue, AWS Lambda, and Amazon S3
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Proven skills in Amazon OpenSearch
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English proficiency at B2 level or higher
Nice to have
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Knowledge of machine learning
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Familiarity with CI/CD
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Understanding of vector databases
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
