Enterprise Architect

Tata Consultancy Services Limited

Duluth, GA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$140,000.0 - $160,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Data Architecture Systems Development Life Cycle Cloud Services Azure Machine Learning Data Streaming Systems Integration Google Cloud

+17 more

Enterprise Software Applications Spring Cloud Spring-boot Multi-Cloud Kubernetes Information Technology Data Analytics Apache Kafka Machine Learning Operations Virtual Agents Api Design Api Gateway Oracle Cloud Infrastructure Devsecops Docker Service Stack Microservices

Job description

The portfolios include Store, Digital, Supply Chain, Merchandising, Marketing, Data Analytics.
Key Responsibilities
Define and drive enterprise architecture strategy aligned with business vision and digital transformation goals
Design scalable, resilient, and secure enterprise applications across modern architectures (microservices, event-driven, API-first)
Lead architecture design across multi-cloud / hyperscaler platforms (GCP, Azure, OCI)
Establish architecture governance frameworks, standards, and best practices. Reviews adherence, evaluations and continuously updates standards.
Understand and contribute to Data Architecture.

Roles & Responsibilities

Cloud & Modernization
Architect cloud-native applications and migration strategies for enterprise workloads
Lead modernization initiatives including legacy transformation, containerization, and platform engineering
Drive adoption of cloud services (compute, storage, data, AI/ML services) effectively across enterprise
Understand and contribute to Data Architecture.
AI-led Enterprise Solutions
Architect and implement AI-driven enterprise solutions (GenAI, Agentic AI, ML pipelines)
Integrate AI capabilities across SDLC (design, development, testing, operations)
Drive use-case identification and industrialization of AI solutions across business functions
Ensure responsible AI practices, governance, and ethical implementation
Technology Stack & Engineering Excellence
Strong expertise in Java ecosystem (Spring Boot, Microservices, API development)

Requirements

Do you have experience in Systems integration?, * Containers & orchestration (Docker, Kubernetes)

API gateways and integration platforms
Event streaming (Kafka / PubSub)
Define and enforce engineering best practices, DevSecOps, CI/CD pipelines, * 20+ years of IT experience with 8+ years in architecture roles
Retail domain experience will be a good nice-to-have.
Proven experience in multi-cloud architecture (GCP, Azure, OCI)
Strong hands-on experience in Java-based enterprise application design
Experience in AI/ML / GenAI solutions and integration into enterprise systems
Strong experience in solutioning, proposals, and customer engagement

Certifications:

Google Professional Cloud Architect

Exposure to:

Platform engineering
SRE / Observability architecture
API monetization and digital ecosystems
Experience in large-scale transformation programs

Benefits & conditions

Pulled from the full job description

Pet insurance
Health insurance
Vision insurance
Dental insurance
Commuter assistance, * Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Ho me Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.