Lead Enterprise Architect

Job Description:

Major Responsibilities:

• Product Architecture Vision: Define and champion the overall product architecture vision, strategy, and roadmap, considering scalability, performance, security, maintainability, and cost-effectiveness.
• Architecture Design & Guidance: Lead the design and evolution of key product architectures, providing guidance and direction to development teams on architectural best practices and patterns.
• Well-Architected Patterns: Expertise in well-architected patterns across logical and deployment views of the architecture, and ability to apply them appropriately to shape the solution.
• Cloud Engineering: Strong depth in cloud engineering and full-stack cloud solutions, that cut across front-end, back-end, APIs and micro services, workflows and automation.
• Technology Evaluation & Selection: Research, evaluate, and recommend appropriate technologies, platforms, and frameworks to support product development and innovation.
• Collaboration & Communication: Collaborate effectively with product managers, engineers, business stakeholders, and other architects to ensure alignment on architectural decisions and facilitate communication of architectural concepts.
• Architecture Governance: Establish and enforce architectural principles, standards, and guidelines across the product development organization.
• AI driven Workflows and Automation : Good understanding of how AI and LLMs can be used to drive workflows, and automation of business processes. Good understanding of Agentic AI approaches to workflow automation. Some hands-on experience with Agentic AI workflows is highly desirable.
• Data Architecture: Good understanding of how to manage data-driven solutions and applications, leveraging data as a core component of the solution. Good understanding of end-to-end data lifecycle and data workflows.
• Insights and Reporting: Good undersatnding of how to leverage data for insights and centralized reporting.
• Solution Architecture: Contribute to the design of specific solutions within the product portfolio, ensuring alignment with the overall product architecture.
• Technical Debt Management: Identify and address technical debt within the product architecture, developing strategies for its mitigation.
• Mentoring & Coaching: Mentor and coach development teams on architectural best practices, promoting a culture of architectural excellence.
• Market & Technology Awareness: Stay abreast of industry trends, emerging technologies, and competitive landscape, identifying opportunities for innovation and improvement.
• Documentation: Create and maintain architectural documentation, including high-level designs, architectural diagrams, and API specifications.

Required Skills:

• Enterprise Architecture: Deep understanding of enterprise architecture principles, frameworks, and their application in large-scale product development. Ability to define and champion architectural vision and strategy.
• Product Architecture: Proven ability to define and evolve product architecture roadmaps, aligning with business strategy and long-term scalability goals. Experience with designing and implementing modular, extensible, and maintainable product architectures.
• Platform Engineering: Extensive experience in building and managing scalable cloud platforms, including platform architecture, design patterns, and best practices. Expertise in platform engineering principles and their application to product development.
• Cloud Engineering: Expertise in architecting, building, and deploying scaled cloud platforms and solutions, leveraging modern cloud engineering best practices. Minimum of 10+ years of experience in architecting large-scale cloud solutions. Experience with hybrid and multi-cloud environments.
• Cloud-Native Application Development: Strong experience in developing and deploying cloud-native applications using containerization (Docker, Kubernetes), microservices architectures, and serverless technologies (Azure Functions, etc.).
• API Management & Integration: Expertise in API design, development, and management. Strong experience in defining, designing, and deploying enterprise APIs for consumption across multiple services and applications. Experience with API gateways and related technologies. Understanding of API-driven architecture and its role in product ecosystems.
• DevOps & Automation: Deep understanding of DevOps practices, including CI/CD pipelines, infrastructure as code (Terraform, ARM Templates), and automated testing. Experience with building and managing automated deployment pipelines.

Data & AI Skills

• Data Platforms & Architecture: In-depth knowledge of data architecture principles and patterns. Experience with designing and implementing data platforms, data warehouses, data lakes, and data pipelines. Expertise with relevant technologies like MongoDB, Azure Cosmos DB, Snowflake, and Microsoft Fabric.
• AI-Enabled Automation: Understanding of modern enterprise integration and automation facilitated via AI/ML workflows. Experience with integrating AI/ML capabilities into product architectures and platforms. Knowledge of relevant AI/ML platforms and tools. Knowledge of Agentic AI workflows, and applying Agentic AI principles to solve for business process automation.

Modern Full-Stack Dev - Front-End & Back-End Skills (Focus on Architectural Implications)

• Modern Front-End Architecture: Experience with modern front-end technologies (React, Redux) with a focus on architectural considerations like state management, component-based architecture, performance optimization, and scalability.
• Back-End Architecture & Microservices: Strong proficiency in developing and managing back-end services and APIs (Nest.js, Express.js, Node.js, Python) with a focus on microservices architecture, RESTful services, and API design. Experience with distributed systems and related architectural patterns.
• BFF and GraphQL Frameworks: Strong proficiency in BFF and GraphQL, including federated graphs and supergraph / subgraph architectures.
• Integration Workflows: Strong understanding of integration workflows and multiple approaches + design patterns to accomplish the same. This should include pro-code workflows, low-code integration workflows, and Agentic AI approaches to building integration workflows.

Other Critical Skills:

• Technology Evaluation & Selection: Ability to research, evaluate, and recommend appropriate technologies, platforms, and frameworks to support product development and innovation.
• Technical Debt Management: Experience in identifying and addressing technical debt within product architectures and platforms.
• Mentoring & Leadership: Demonstrated experience in leading and mentoring engineering teams, fostering a culture of architectural excellence.
• Pragmatic Solutions: Ability to propose multiple solution options, drive constructive discussions on trade-offs and choices, and push for pragmatic solutions balancing the needs of the business, with the right tech fit.

Industry Exposure and Experience:

• Minimum 18+ years of experience and credible exposure to Cloud Engineering, Cloud Native Apps and Platforms, and Enterprise Architecture
• Minimum 10+ years of architecture experience with 1 major Cloud Platform – preferred is Azure Cloud.
• Architecture certification with 1 major Cloud Platform (preference is Azure Cloud) is highly desirable.
• Experience within the Creative Production and Creative Technology domain, and a high-level understanding of creative processes, is highly desirable

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