Role Overview: As an Enterprise Architect, you will play a crucial role in shaping and executing our enterprise-level technology strategy. You will take a hands-on approach to multiple high-visibility projects, ensuring that our product landscape and solutions are both innovative and effective. Your vision and leadership will drive the development and implementation of a modern technology roadmap, simplifying and streamlining our technology landscape to deliver significant value for Deloitte’s business investments. Your responsibilities will include leveraging your extensive engineering expertise and proficiency in applications and data integration across multiple programming languages, tools, platforms, and modern frameworks. You will consistently demonstrate your exemplary track record in delivering high-quality, outcome-focused solutions that yield value to our business. The ideal candidate will serve as a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced solutions. Your ability to lead, mentor, and inspire others will be pivotal in fostering a culture of excellence and continuous improvement within the organization.
Recruiting for the role for 4.1.25
Key Responsibilities:
Strategic Vision and Alignment: Accountable to craft and articulate a vision for modern enterprise systems and their integration with hundreds of other related upstream and downstream systems in alignment with the Business Strategy and US Deloitte Technology strategy, mapping business capabilities to the enterprise technology landscape. Collaborate with diverse stakeholders and executives, including businesses and enabling areas as well as product, engineering, experience, delivery, security, and infrastructure teams across various organizational levels.
Advocacy and Technology Roadmap: Advocate for, develop, and communicate product engineering group’s integrated architecture/technology strategy and implementation approach to the product engineering teams and business stakeholders. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress. Always have an eye on reuse and leverage of the existing technology assets to minimize overall costs and avoid integration complexities. Actively simplify and remove unnecessary systems, integrations, and bottlenecks.
Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs and NFRs related to system integration architecture and engineering, including aspects such as system performance, reliability, security, auditability, scalability, interoperability, maintainability, etc. Establish and evolve landscape and integration architecture and the engineering domain reference architecture, standards, and best practices. Actively be hands-on with design, architecture, and integrate and code part of the time, contributing to team velocity, and be actively engaged with product architects and engineers across SSDLC. Review standards and code, drive tech debt reduction, and experiment with new technologies, driving their adoption together with engineers, inspiring them to stay current with the technology industry evolution.
Capability Evolution and Development: Being an engineering expert, mentor and develop architects and engineers. Coach and develop skills in modern architecture and engineering practices, related to integration tools and practices, microservices, cloud-native design, containers, AI/ML/GenAI, DevSecOps, and deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations with academia and communities.
Iterative Value Delivery: Embrace an iterative and incremental approach to implementing new solutions, integration architecture, and the engineering domain as a whole. Apply a leaning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence, adjusting integration architecture direction to meet customer needs and business viability.
Customer-Centric Problem Solving: Demonstrate a relentless focus on addressing the most critical issues faced by customers, aligning technical solutions with business objectives. Exhibit deep expertise in minimizing unnecessary technical complexities and integration approaches that do not add value (no “overengineering”). Drive teams toward peak performance through continuous learning and improvement. Collaborate, challenge, and own technical decisions being advocated by business or other groups that do not fit or advance the enterprise ecosystem.
Expert Proficiency and Continuous Improvement: Possess a keen ability to identify inefficiencies and opportunities for innovation within the technology landscape and the product development lifecycle. Continuously enhance the product engineering operating model to be lean, adaptable, and responsive to changes, ensuring that engineering teams can deliver business value efficiently and effectively. Guide and transform the organization to embrace lean principles and foster a culture of innovation.
Tech/Quality Risk Management: Establish and evolve enterprise reference architectures, standards, and best architecture/engineering practices. Identify potential technical risks and develop mitigation strategies via proactive problem-solving and contingency planning to address any issues that may arise during development.
Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence.
Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels.

The successful candidate will be able to and/or have:

• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
Qualifications:

Required Qualifications

• A bachelor’s degree in computer science, software engineering, or a related discipline
• 12+ years of experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, Java, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.
• 7+ years experience with integrating SAP, SuccessFactors, Costpoint, ServiceNow, and Salesforce with custom product and COTS. Knowledge of SAP S/4HANA & HCM
• 7+ years experience with enterprise integration solutions and iPaaS (e.g., MuleSoft, Boomi, Talend).
• 7+ years of hands-on experience with cloud-native integration services on Azure, AWS, and GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing).
• 5 years of people leadership experience
• Limited immigration sponsorship may be available

Preferred Qualifications

• 20+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, Java, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.
• 5+ years of experience with AI/ML and experience with GenAI
• Prior software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentations, as well as messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).
• Prior experience and understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.
• An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline is preferred.
• Deep excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Information for applicants with a need for accommodation:
Hyperlink: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $124,600 to $255,900.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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