Summary
As an Enterprise Architect, you will lead and oversee the design and governance of the company’s enterprise-wide technology strategies. You’ll ensure that systems, platforms, and processes align with business & stakeholder goals, scales effectively, and remain secure and resilient. This role bridges business strategy and technical execution, guiding cross-functional teams through complex transformation initiatives, and incorporating new technologies, such as GenAI. This role will also work closely with various engineering teams across organizations, providing best practices, architectures, and engineering judgements – by “leading by example”.
Description
Key Responsibilities:
• Develop and maintain the enterprise architecture roadmap across business, application, data, and technology domains.
• Align IT strategy with business objectives, ensuring scalability, interoperability, and cost-efficiency.
• Lead architecture reviews and provide oversight for major technology initiatives and digital transformation programs, including AI-augmented solutions. • Evaluate emerging technologies and recommend adoption strategies that support innovation and growth.
• Collaborate with business leaders, product owners, and engineering teams to define architectural standards and governance models.
• Ensure compliance with security, regulatory, and operational requirements across all systems.
• Mentor solution architects, software architects, and technical leads, fostering architectural consistency and excellence.
• Drive modernization efforts including GenAI integration, cloud migrations, API strategies, and platform consolidation.
• Define and enforce enterprise-wide standards, patterns, and reusable components.
Candidate Qualifications:
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Experience
- 10+ years of experience in engineering, development, or IT, with 5+ years in technical leadership roles.
Qualifications
- Proven experience designing and implementing enterprise-scale systems in cloud and hybrid environments.
- Strong knowledge of microservices, APIs, data architecture, GenAI, and cybersecurity principles.
- Strong ability to work with development teams to design and review solutions as needed. Can work with teams, down to the code implementation level.
- Demonstrated ability to leverage AI to efficiently solution, generate designs, prototypes proofs of concept, create implementations, generate tests & documentation, and accelerate deliveries.
- Excellent communication and stakeholder management skills for all leadership levels.
- Strategic thinker with hands-on technical depth
Technical Skills
- Architecture & Design: System and application architecture, microservices and API design, Cloud-native architecture (AWS, Azure, and/or GCP), integration patterns and middleware
- Software Engineering: Proficiency in languages and associated technology stacks like Java, Python, C#, or JavaScript, Expert understanding of software development lifecycle (SDLC) and practices, Familiarity with DevOps practices and CI/CD pipelines, and source control management (SCM) systems.
- Generative AI: Proficiency and strong working knowledge of AI technologies, ranging from basic LLMs to Distributed Agentic AI platforms. Expected to maintain working knowledge of recent industry trends.
- Cloud & Infrastructure: Experience with cloud platforms (AWS, Azure, GCP), Infrastructure as Code (Terraform, etc.), Containerization tools (Docker, Kubernetes), Networking and security fundamentals.
- Data & Analytics: Data modeling and database design (SQL, NoSQL), ETL processes and data integration, Knowledge of data lakes, warehouses, and streaming platforms.
- Security & Compliance: Identity and access management (IAM), Secure design principles, awareness of regulatory frameworks (e.g., GDPR, HIPAA, SOX, SOC2)
- Tools & Platforms: Familiarity with enterprise platforms, monitoring and observability tools, API gateways and service meshes.
