Define and execute enterprise technology architecture strategy across application, platform, infrastructure, integration, data, and cloud domains. Establish architecture standards, governance frameworks, review boards, and operating models while guiding modernization, microservices, API-driven systems, Azure cloud adoption, data platforms, AI/GenAI, automation, security, and cost optimization. Partner with business, product, engineering, and senior leadership to align technology decisions with business value, scalability, compliance, and innovation.
We are seeking a forward-thinking Enterprise Architect who will define and drive the technology architecture strategy across the organization, with the ability to scale across application, platform, and infrastructure domains as the ecosystem evolves. This role will act as a bridge between business strategy and technology execution, ensuring alignment, scalability, governance, and innovation enablement across enterprise systems.
Key Responsibilities
Enterprise Architecture & Strategy
- Define and maintain the enterprise architecture roadmap aligned with business strategy
- Establish architecture principles, standards, and governance frameworks
- Drive technology decision-making across business units and platforms
- Align architecture with ROI² goals (Return on Investment + Return on Impact)
Multi-Layer Architecture Ownership
- Provide leadership and gradually scale into:
Application Architecture
- Define application landscape, integration patterns, and modernization roadmap
- Lead transition from:
- Monolithic → Microservices / API-driven architectur
- Ensure scalability, modularity, and reusability
Platform Architecture
- Design and govern platform-based ecosystems (data, AI, ESG platforms, etc.)
- Drive “Tools → Platform” transformation
- Enable:
- Reusable services
- Shared capabilities
- Developer productivity
Infrastructure / Cloud Architecture
- Help execute cloud strategy (Azure)
- Ensure:
- Scalability
- Security
- Cost optimization (FinOps)
- Architect cloud-native and hybrid environments
Integration & Data Architecture
- Define enterprise integration patterns (API, event-driven, middleware)
- Lead data architecture for:
- Data platforms / lakehous
- Governance and lineage
- Enable data-as-a-product mindset
Governance & Operating Model
- Establish architecture governance frameworks
- Build and manage:
- Architecture Review Board (ARB)
- Design authority forums
- Ensure:
- Compliance
- Risk mitigation
- Standardization
Innovation & Emerging Technologies
- Evaluate and enable adoption of:
- AI/GenAI platforms
- Data Framework/platforms
- ETL/Data Pipelines
- Integration Platforms
- Automation frameworks
- Drive controlled innovation with guardrails
Stakeholder Engagement
- Partner with:
- Business leaders
- Product teams
- Engineering teams
- Act as trusted advisor to senior leadership (CTO, Head of Data & Innovation, Head of Infrastructure & Chief Product Officer)
Key Capabilities & Skills
Core Architecture Skills
- Enterprise architecture frameworks (TOGAF or equivalent)
- Strong understanding of:
- Application architecture o Platform engineering
- Cloud infrastructure (Azure)
- Experience in API-first and event-driven architectures 2
- Model Driven Engineering
- Metadata & Cataloging
Technology Expertise
- Cloud: Azure (must have), AWS, GCP
- Data: Lakehouse, Data platforms, ETL/ELT, governance
- Integration: APIs, microservices, middleware
- DevOps: CI/CD, automation pipelines
- Security: Enterprise-grade security and compliance models
Strategic & Leadership Skills
- Ability to translate business strategy into architecture
- Strong decision-making and trade-off analysis
- Experience working in complex, global enterprise environments
- Proven experience in scaling platforms and ecosystems
Experience Required
- 12–18+ years in technology roles, with:
- 5+ years in enterprise / solution architecture roles
- Experience in:
- Digital transformation programs
- Platform-based product development
- Large-scale system integration
Education & Certifications
- Bachelor’s/master’s in engineering, Computer Science, or related field
- Certifications (preferred):
- TOGAF
- Azure Solution Architect Expert
- Cloud certifications (AWS/GCP)
About
Our commitment to building and maintaining a diverse workforce Anthesis has clients across all industry sectors and supports some of the world’s largest multinationals such as Reckitt, Cisco, Tesco, The North Face, and Target. The company brings together 1,300+ experts operating across 22 countries and 44 office locations with offices in Australia, Belgium, Brazil, Canada, China, Colombia, Finland, France, Germany, Hong Kong, Ireland, Italy, the Middle East, Netherlands, the Philippines, Singapore, South Africa, Spain, Sweden, Switzerland, the UK, and the US. We encourage all employees to contribute their ideas, perspectives, and experiences to help us create an inclusive and equitable workplace. By embracing diversity and providing equal opportunities, we believe we can drive innovation, foster creativity, and achieve our shared goals. So, if you’re ready to be a part of something truly extraordinary, then we want you! Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, pregnancy, marital status, protected veteran status, or disability status. Together, we can continue to build a diverse and inclusive workforce where everyone has an equal opportunity to succeed and thrive. If you require any reasonable adjustments to be made to your application process, or need this job advert in a different format, just let us know and we’ll be happy to help.
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Owns the enterprise architecture and hands-on implementation of Coursera’s agentic AI foundation. Designs agent orchestration, context and semantic architectures, governance, security, CI/CD automation, cost optimization, integrations, observability, and production standards. Enables business teams to build reliable AI-native workflows at scale while partnering with Engineering, IT, Data, Security, and business pods. The role also includes hiring, coaching, technical leadership development, and defining operating models and adoption metrics.
Top Skills:
Agentic AiAPIsCi/CdCloud InfrastructureLanggraphLlmsModel Context Protocol (Mcp)RagSemantic Search
Artificial Intelligence • Big Data • Fintech • Security • Software
Leads enterprise architecture for scalable, multi-tenant SaaS systems and cloud-native platforms. Owns AWS architecture, distributed data pipelines, cost optimization, security, governance, and architectural standards. Drives GenAI and machine learning adoption across the software development lifecycle, builds self-service capabilities, guides engineering teams, conducts prototypes, and leads architecture reviews. Requires deep hands-on cloud, distributed systems, coding, infrastructure automation, AI/ML, and strategic technology leadership experience.
Top Skills:
Amazon EksAWSAws IamAws LambdaCi/CdDockerEvent-Driven ArchitectureGCPGenaiJavaJavaScriptKotlinKubernetesLlmsMachine LearningMicroservicesPythonTerraformTypescript
Automotive • eCommerce • Retail • Sales
Own enterprise architecture standards and governance, ensuring project designs align with business and technology strategy. Develop business and technology capability roadmaps, guide solution design, manage architecture tools, and advise leaders on resource planning and IT landscapes. The role also communicates strategic vision, mentors technology teams, evaluates emerging technologies, and supports large-scale, highly available software solutions across service-based, event-based, and cloud environments.
Top Skills:
Cloud ComputingEvent-Based ArchitecturesHybrid CloudMulti-CloudService-Based Architectures
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.



