Role Overview :We are looking for a hands-on Data Architect with strong expertise in AWS data engineering, cloud DevOps, SQL, and Agentic AI. The role involves designing and implementing scalable data architectures, leading end-to-end ETL development, integrating AI capabilities into production applications, and driving technical architecture decisions.Responsibilities :- Lead end-to-end ETL and data engineering development using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon Aurora.- Design, implement, and optimize AWS data architectures to support scalable and reliable data processing.- Own technical architecture and lead design discussions, solution reviews, and architecture decisions with clients and internal stakeholders.- Drive AWS DevOps activities, including Amazon EKS, Terraform, CI/CD pipelines, infrastructure automation, and application deployments.- Write, optimize, and troubleshoot complex SQL queries for data transformation and performance improvement.- Design and develop Agentic AI solutions using LangGraph and LangChain.- Integrate foundation models into production applications using Amazon Bedrock.- Lead technical discussions, requirement analysis, solution design, and technical decision-making.- Mentor developers, conduct technical reviews, and promote engineering best practices.- Contribute to cloud-native,



microservices-based solutions and distributed application architectures.Requirements :- 8 - 12 years of relevant experience in data engineering, solution architecture, or software engineering, with strong hands-on technical expertise.- Mandatory hands-on experience designing AWS data architectures using AWS Glue, AWS Lambda, AWS Step Functions, and Amazon Aurora.- Strong experience in ETL development, data engineering, and data architecture.- Experience with AWS DevOps, including Amazon EKS, Terraform, CI/CD pipelines, infrastructure automation, and deployments.- Robust SQL skills, including complex queries, query optimization, data transformation, and troubleshooting.- Hands-on experience building Agentic AI solutions using LangGraph and LangChain.- Practical experience with Amazon Bedrock and integrating foundation models into production applications.- Strong architecture, solution design, technical leadership, and client-facing communication skills.- Experience mentoring engineering teams and driving code quality and technical best practices.- Familiarity with Dynatrace and ServiceNow is an advantage.- Basic understanding of Java 21, including Records, and Dapr/Diagrid or similar distributed application patterns is desirable. (ref:hirist.tech)

📌 Material+ - Data Architect - AWS/Agentic AI (Gurugram)
🏢 Srijan Technologies/Material
📍 Gurugram