Material+ - Data Architect - AWS/Agentic AI

Srijan: Now Material; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Srijan: Now Material is seeking a hands-on Data Architect with deep AWS data engineering and cloud DevOps expertise. The role focuses on designing scalable data architectures, leading end-to-end ETL development, and integrating Agentic AI capabilities into production systems.

You will drive architectural decisions, mentor engineering teams, and collaborate with clients to deliver robust data solutions. Strong SQL, DevOps, and AI model integration experience are essential for success.

Qualifications

• 8-12 years of relevant experience in data engineering, solution architecture, or software engineering.
• 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.
• Strong SQL skills, including complex queries, 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 best practices.
• Familiarity with Dynatrace and ServiceNow is an advantage.
• Basic understanding of Java 21, including Records, and Dapr/Diagrid is desirable.

Responsibilities

• Lead end-to-end ETL and data engineering development using AWS Glue, Lambda, Step Functions, and Aurora.
• Design, implement, and optimize AWS data architectures to support scalable data processing.
• Own technical architecture and lead design discussions with clients and internal stakeholders.
• Drive AWS DevOps activities, including EKS, Terraform, CI/CD pipelines, and deployments.
• Write, optimize, and troubleshoot complex SQL queries for data transformation.
• Design and develop Agentic AI solutions using LangGraph and LangChain.
• Integrate foundation models into production apps using Amazon Bedrock.
• Lead technical discussions, requirements analysis, and solution design.
• Mentor developers, conduct technical reviews, promote engineering best practices.
• Contribute to cloud-native, microservices-based solutions and distributed architectures.

Skills

SQL skills

Technical leadership

Client-facing

Mentoring

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Amazon Aurora

AWS EKS

Terraform

CI/CD

LangGraph

LangChain

Amazon Bedrock

Dynatrace

ServiceNow

Java 21

Dapr/Diagrid

Job description

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.

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.


• Strong 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)