We are seeking Architects to join Enterprise Architecture team focused on enabling business outcomes and shaping the organizations digital future. This team plays a strategic role addressing opportunities across people, processes, and technology and mitigating them through mature architecture, analysis, and design practices integrated into the enterprise delivery lifecycle.

A key initiative is the development of an Enterprise Architecture Platform that consolidates IT data across the organizationspanning strategy, execution, and maintenanceto uncover redundancies, optimize operations, and inform technology planning and decision-making at every level.

We are looking for highly skilled candidate who is technically adept yet strategically minded capable of driving EA platform creation and leveraging insights to influence enterprise decisions.

Key Responsibilities :

Application Portfolio Management :

- Implement integration from several data sources into EA platform to enable end-to-end portfolio management process. This includes data collection, curation and integration into the Abacus EA tool.

- Collaborate with vendors who publish EOL data sets and EA platform vendors to define metamodels and working models.

- Drive key use cases such as technology obsolescence and end-of-life analysis, technology and application rationalization, cost/value assessments, risk and compliance reviews and dependency mapping to inform strategic roadmaps and lifecycle management.

Solution & Technical Architecture :

- Socialize and review architecture standards, conduct design reviews, and ensure compliance with enterprise guidelines.

Architecture Patterns & Design Practices :

Demonstrate practical mastery of modern architecture and design patterns across web, dataintensive and AI/ML applications including layered/hexagonal/clean architecture, microservices and eventdriven design, APIfirst (REST/GraphQL), serverless, containers & orchestration (Docker/Kubernetes)

- CQRS and saga for distributed transactions, streaming & batch data (Kafka/Spark), data lakehouse/data mesh principles, cache & performance patterns (CDN, edge, async), resilience & reliability (circuit breaker, retry, backoff)

- Observability (logging, tracing, metrics), security & compliance by design (zero trust, OAuth/OIDC, secrets, encryption) and AI/ML engineering (feature stores, model training/serving, MLOps, monitoring, responsible AI). Apply these patterns to design scalable, secure, costeffective solutions and coach engineering teams on their effective use.

TOGAF & ArchiMate Knowledge (Nice-to-Have) :

- Familiarity with TOGAF (framework, ADM, governance) and ArchiMate notation for modeling strategy, business, application, technology, and motivation layers.

- Ability to read/create architecture views and metamodels, ensure traceability from capabilities to solutions, and improve communication with stakeholders.

Operational & Financial Data Proficiency (Nice to Have) :

- Demonstrate strong hands on capability working with CMDB/asset inventories, finance/cost data (including chargebacks, licensing/contracts), and application usage/telemetry metrics (APM, logs, traces) to drive fact based portfolio insights, rationalization, and risk management.

Additionally, be fluent with vendor/SLA data, technology lifecycle signals (EOL/EOS), cloud tagging & cost allocation (FinOps), and business capability mappings to ensure decisions are traceable from spend and usage to outcomes and roadmap priorities.

Engineering Partnership :

- Build strong relationships with engineering teams to enhance design-to-implementation synergy and improve delivery quality. Ensure solutions align with enterprise architecture principles and deliver measurable outcomes.

Requirements :

Education & Experience :

- Bachelors degree in Computer Science, Information Systems, or related field; Masters preferred.

- 6 to 10 years of combined Software engineering and architecture experience with good understanding of Solution Architecture and or Technical Architecture principles.

Technical Expertise :

- Be able to do hands on coding and scripting where required to conduct Proof of concepts and proof of technology

- Strong understanding of architecture frameworks and tools

- Experience in retail domain highly desirable.

- Proficiency in technology selection, integration patterns, and governance models.

Soft Skills :

- Excellent communication and stakeholder management skills.

- Collaborative mindset with ability to influence across organizational levels.