Data Architect – AWS & Agentic AI

Srijan Technologies PVT LTD; Gurgaon; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Srijan Technologies PVT LTD in Gurgaon seeks a hands-on Data Architect specializing in AWS and Agentic AI to lead ETL/data engineering and architecture decisions. The role requires guiding clients and engineers, delivering robust data solutions, and mentoring a team of developers.

Key focus areas include Glue/Lambda/Step Functions, EKS, Terraform, Bedrock integration, and LangChain. 8+ years of experience preferred with strong SQL capabilities.

Qualifications

• Hands-on ETL and data engineering using AWS services is mandatory.
• Lead architecture discussions with clients and internal teams.
• Strong SQL skills for complex queries and data transformations.
• Experience building Agentic AI solutions in production.
• Mentor and lead developer teams ensuring best practices.

Responsibilities

• Lead end-to-end ETL/data engineering using AWS Glue, Lambda, and Step Functions.
• Own technical architecture and drive design conversations with stakeholders.
• Lead AWS DevOps activities including EKS, Terraform, and CI/CD pipelines.
• Develop and optimize SQL queries and data transformations.
• Build Agentic AI solutions with LangGraph and LangChain.
• Integrate Bedrock models into production apps and lead client discussions.
• Mentor a team of developers and perform technical reviews.

Skills

ETL/Data Eng

Data architecture

Leadership

Client discussions

Mentoring

SQL

AI (Agentic AI)

Tools

AWS Glue

AWS Lambda

AWS Step Functions

AWS Aurora

Amazon EKS

Terraform

CI/CD

LangGraph

LangChain

Amazon Bedrock

Job description

Company Overview:

About us

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

Overall Profile

- Looking for a hands‑on Technical Architect who can combine strong AWS Data Engineering, DevOps, SQL, and Agentic AI expertise with the ability to lead technical discussions, architecture decisions, clients, and engineering teams.

Role -Data Architect – AWS & Agentic AI

Experience 8+ years

Must‑Have Skills & Responsibilities

• Lead end-to-end ETL/Data Engineering development using AWS Glue, AWS Lambda, and Step Functions. Hands on experience required on Data architecture of AWS which includes, Glue, Lamda, Step function and AWS Aurora. (Mandatory)
• Own technical architecture and actively lead design/architecture discussions with clients and internal stakeholders.
• Lead AWS DevOps activities including Amazon EKS, Terraform, CI/CD pipelines, infrastructure automation, and deployments.
• Strong hands‑on expertise in SQL, including complex queries, optimization, data transformation, and troubleshooting.
• Hands‑on experience building Agentic AI solutions using LangGraph and LangChain.
• Strong practical experience with Amazon Bedrock, including integrating foundation models into production applications.
• Lead technical client discussions, requirement analysis, solution design, and technical decision‑making.
• Mentor and lead a team of developers, perform technical reviews, and ensure engineering best practices.

Good to Have

• Good understanding and hands on dynatrace and servicenow.
• Basic understanding of Java 21, including Records.
• Basic understanding of Dapr/Diagrid and distributed application patterns.
• Experience with cloud‑native, microservices‑based architectures.