AWS Data Architect

Tata Consultancy Services; Pune District; On-site; INR 3,600,000 - 6,200,000; Full time

Job summary

Tata Consultancy Services is seeking an experienced AWS Data Architect to lead enterprise-scale data platform modernization, cloud data architecture, analytics, and data governance initiatives on AWS.

You will design scalable architectures, define data strategies, and guide migration from on-premises to AWS, while collaborating with data engineers and business stakeholders. This role offers exposure to cutting-edge AWS analytics services and opportunities to drive AI/ML enabled data programs.

Qualifications

• Strong experience in AWS Data Architecture and Cloud Data Platforms

Responsibilities

• Design scalable, secure, high-performance data architectures on AWS
• Define enterprise data strategies, models, and integration frameworks to support analytics
• Architect Data Lakes, Data Warehouses, and Real-Time Data Processing
• Lead migration from on-premises/legacy to AWS Cloud
• Establish data governance, quality, metadata, and security practices
• Collaborate with stakeholders, engineers, analytics teams, and solution architects to define data roadmaps
• Optimize data pipelines for performance, scalability, and cost efficiency
• Drive cloud-native technologies to support AI/ML initiatives

Skills

AWS data architecture

Cloud data platforms

Data governance

SQL

Python

PySpark

Big data

ETL/ELT

Analytics/BI

Security/compliance

Real-time streaming

Tools

AWS S3

AWS Glue

AWS Redshift

AWS Athena

AWS EMR

AWS Lake Formation

AWS Lambda

AWS Kinesis

AWS RDS

AWS DynamoDB

AWS Step Functions

Databricks

Snowflake

Job description

We are actively hiring an experienced AWS Data Architect to lead enterprise-scale data platform modernization, cloud data architecture, analytics, and data governance initiatives on AWS.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data architectures on AWS.
• Define enterprise data strategies, data models, and data integration frameworks to support business and analytics requirements.
• Architect modern data platforms including Data Lakes, Data Warehouses, and Real-Time Data Processing solutions.
• Lead data migration and modernization projects from on-premises and legacy platforms to AWS Cloud.
• Establish data governance, data quality, metadata management, and security best practices.
• Collaborate with business stakeholders, data engineers, analytics teams, and solution architects to define data roadmaps.
• Optimize data pipelines, storage, and processing frameworks for performance, scalability, and cost efficiency.
• Drive adoption of cloud-native technologies and support advanced analytics, AI, and ML initiatives.

Required Skills

• Strong experience in AWS Data Architecture and Cloud Data Platforms
• Expertise in AWS services such as S3, Glue, Redshift, Athena, EMR, Lake Formation, Lambda, Kinesis, RDS, DynamoDB, and Step Functions
• Strong knowledge of Data Lake, Data Warehouse, and Lakehouse architectures
• Experience with ETL/ELT frameworks and data integration solutions
• Hands-on experience with SQL, Python, PySpark, and Big Data technologies
• Experience with data governance, security, cataloging, and compliance frameworks
• Knowledge of real-time streaming technologies and event-driven architectures
• Strong understanding of analytics, BI, and reporting solutions

Preferred Qualifications

• AWS Certified Solutions Architect Associate/Professional
• Experience with Databricks, Snowflake, or other cloud data platforms
• Exposure to AI/ML and advanced analytics ecosystems

What We're Looking For

• Strong architectural and problem-solving skills
• Ability to engage with business and executive stakeholders
• Experience leading large-scale cloud data transformation programs
• Excellent communication and leadership capabilities

Why Join Us?

• Opportunity to work on enterprise cloud data transformation initiatives
• Exposure to cutting-edge AWS Data & Analytics services
• Collaborative work environment with cloud and data experts
• Career growth and certification opportunities

Interested candidates can share their updated resume.

Subject Line: AWS Data Architect | Preferred Location | Notice Period