TCS Hiring !!AWS Integration-- Architect / Tech Lead

Candidates with less experience THAN 10 years of experience need not apply

Must have :AWS Cloud Architect infra and modernization

Experience only 10 - 12

Please read Job description before Applying

NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:

Name:

Contact Number:

Email ID:

Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)

Current Organization Name:

Total IT Experience-10- 12

Chennai, (TBD

Current CTC

Expected CTC

Notice period:

Whether worked with TCS - Y/N

We are seeking a highly experienced Principal AWS Data Architect to lead the design and delivery of a scalable, secure, and high‑performance enterprise data and integration platform on Amazon Web Services (AWS). This role is responsible for defining the end‑to‑end data and integration architecture, enabling analytics, event‑driven systems, and cloud‑native data platforms aligned with business objectives. The architect will play a key role in modernization, cloud adoption, and complex system integrations.

Key Responsibilities

Data & Integration Strategy

Define the end‑to‑end AWS data and integration architecture covering ingestion, processing, storage, orchestration, consumption, and archival.
Drive data platform modernization leveraging serverless, microservices, and event‑driven architectures.
Align architecture decisions with business goals, scalability, resiliency, and cost efficiency.

Architectural Design

Design and document conceptual, logical, and physical architectures using AWS services such as:
Compute & Orchestration: Lambda, ECS, Step Functions
Integration & APIs: API Gateway, SQS, SNS, EventBridge
Data Storage: S3, DynamoDB, RDS/Aurora
Networking: VPC, PrivateLink, NLB
Streaming & Event‑Driven Data: Kinesis, EventBridge
Data Lake & Analytics: S3, Glue, Athena, Redshift Serverless
Define integration patterns (sync/async, pub‑sub, fan‑out, orchestration, choreography).

Platform Leadership

Act as an SME for AWS data and integration services.
Lead technical teams and mentor engineers across data engineering and integration projects.
Review solution designs and enforce AWS Well‑Architected best practices.

Security & Governance

Ensure all data and integrations adhere to security best practices including:
IAM policies and least privilege
Encryption at rest and in transit
Secure VPC and private connectivity design
Establish governance standards for data access, lifecycle, and compliance.

DevOps & Automation

Design and implement CI/CD pipelines using Infrastructure as Code (Terraform, CloudFormation).
Automate deployments and environment provisioning across multiple AWS accounts.

Performance & Cost Optimization

Monitor and optimize data pipelines and integrations for availability, performance, and cost efficiency.
Implement logging, monitoring, and alerting using CloudWatch and observability tools.

Collaboration & Delivery

Work closely with application, infrastructure, security, and business teams to deliver end‑to‑end solutions.
Diagnose and resolve complex integration and data issues across AWS environments.

Required Skills

Experience

7+ years of experience in AWS cloud architecture, data platforms, and integration solutions.
Proven experience designing serverless, microservices, and event‑driven architectures on AWS.

AWS Expertise

Strong hands‑on experience with:
Lambda, API Gateway, Step Functions
SQS, SNS, EventBridge
ECS
VPC, PrivateLink, NLB
DynamoDB, S3, RDS/Aurora

Programming & Integration

Proficiency in Python, Java, or similar languages.
Strong understanding of integration patterns, retry strategies, idempotency, and failure handling.

DevOps & IaC

Hands‑on experience with CI/CD pipelines, Terraform, and deployment troubleshooting.

Soft Skills

Excellent communication skills with the ability to explain complex architectural concepts to technical and non‑technical stakeholders.
Strong leadership and mentoring capabilities.

Preferred Skills

AWS certifications (Solutions Architect – Professional, Data Analytics, or equivalent).
Experience with streaming and real‑time data architectures.
Exposure to hybrid or multi‑cloud data environments.
Experience integrating analytics, reporting, or ML workloads with AWS data platforms.

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