Data Solution Architect, AWS

Description

Summary: Seeking a Data Solution Architect, AWS to design and operationalize cloud-native data pipelines for analytics and GenAI enablement, owning architecture across ingestion, transformation, storage, and search/retrieval. 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 for 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