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Data Solution Architect

Tata Consultancy Services

2 - 5 years

Hyderabad

Posted: 19/03/2026

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Job Description

AWS Data Architect (Cloud Computing)

Business Unit

AWS BU

Role Name

Data architect, Pre-sales solution team

Reporting to

Solutions Head in AWS BU (Application Solution)

Preferred Experience Range

10+ years Core IT Solution focusing Data Architecture/Modeling expertise, minimum 4 years in AWS Cloud Computing

Location

Anywhere in India

Skills Required

Primary: 1. Strong Experience in AWS Cloud Native Architecture, PaaS solution, Serverless Solution, Containerization

2. Very good exposure in AWS data storage and optimization options.

3. Very good experience in Data profiling, Data modeling, Data flow design, Data security strategy, DQA and Data exposure.

4. Pre-sales Experience / Responding to RFPs/ RFIs

5 Ability to understand and design data analytics platform architecture by evaluating Client operations, Data Storage requirements and Analytical needs

6. Ability to design Data Flow from one stage to other with necessary ETVX criteria.

7. Ability to strategize Master Data and Transactional data management within AWS data platform.

8. Support downstream data consuming teams in terms of extending connectivity, secured data exchange strategy and potential scope for performance improvement.

Desirable: 1. AWS Infrastructure and Security standards 2. Knowledge on Performance, Scalability, Availability, Security, Deployment

3. Knowledge of API management and iPaaS technologies

4. Experience of any Docker/ Kubernetes/Lambda and AWS PaaS platforms

5. Technology Trends and Advancements.

6. Knowledge in Agile, Dev-Ops, CI/CD mode of delivery

Responsibilities

1. Participate in Opportunity/Large Deals to produce architecture and high-level design to respond to the client requirements

2. Demonstrate Data Architecture knowledge

3. Create Point of View and Business case 4. Participate in performing Proof of Concept (POC) for various upcoming technologies to fit in business requirement

5. Drive automation, reuse, standards, architecture best practices, and longer-term value of the architecture

6. Design of clients Cloud solutions with a focus on AWS native services 7. Collaboration with relevant teams to enable solution delivery

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