Data Solution Architect, AWS

Description

Summary: We are seeking a Data Solution Architect, AWS to design and operationalize cloud-native data pipelines for analytics and GenAI enablement on AWS, owning architecture across ingestion, transformation, storage, and search. Highlights: 1. Shape cloud-native data pipelines for analytics and GenAI enablement on AWS 2. Own architecture across ingestion, transformation, storage, and search/retrieval 3. Guide teams on delivery standards and operationalize data platform end-to-end We are building a **Data Solution Architect, AWS** role to shape cloud\-native data pipelines for analytics and GenAI enablement on AWS. You will own architecture across ingestion, transformation, storage, and search/retrieval using AWS services and guide teams on delivery standards. Apply to help design and operationalize this data platform end\-to\-end. **Responsibilities** * Design scalable data pipelines with AWS Glue for ETL orchestration, AWS Lambda for event\-driven compute, and Amazon S3 for data lake storage * Define data architecture patterns aligned to the AWS Well\-Architected Framework with a focus on reliability, performance, and cost optimization * Create technical specifications and architecture diagrams for data platform components * Lead implementation of Python and PySpark solutions for large\-scale processing and transformation * Architect Amazon OpenSearch and vector database solutions that enable semantic search, retrieval\-augmented generation, and AI/ML workloads * Design data models and pipelines that support advanced analytics, including regression analysis and NLP applications * Provide architectural guidance on GenAI strategy, advisory work, and operational integration with existing data infrastructure * Design infrastructure patterns that enable machine learning model training, inference, and deployment workflows * Advise teams on data preparation and feature engineering approaches for ML/AI use cases * Establish CI/CD patterns for data pipeline deployment and infrastructure\-as\-code practices * Collaborate with engineering teams to ensure data platform components meet operational excellence standards * Support knowledge transfer and produce technical documentation to ensure sustained delivery **Requirements** * Solid background with 8\+ years of experience in data analytics engineering * Hands\-on experience writing production\-grade PySpark * Advanced expertise with AWS Glue, AWS Lambda, and Amazon S3 * Proven track record using Amazon OpenSearch in real\-world solutions * English proficiency at B2 level (Upper\-Intermediate) or higher **Nice to have** * Working knowledge of machine learning concepts and workflows * Familiarity with CI/CD practices for data and platform delivery * Understanding of vector databases and common usage patterns **We offer** * International projects with top brands * Work with global teams of highly skilled, diverse peers * Healthcare benefits * Employee financial programs * Paid time off and sick leave * Upskilling, reskilling and certification courses * Unlimited access to the LinkedIn Learning library and 22,000\+ courses * Global career opportunities * Volunteer and community involvement opportunities * EPAM Employee Groups * Award\-winning culture recognized by Glassdoor, Newsweek and LinkedIn *EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.*