Deloitte Technology |Product Engineering |Product Architect| Vision360 ID-12022
Product Architect - CL5
Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.
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Recruiting for this role ends 5.31.25
Key Responsibilities:
- Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.
- Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack.
- Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies.
- Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time.
- Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.
- Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.
- Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning.
- Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals.
- Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives.
- Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.
The successful candidate will possess:
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:
- A bachelor's degree in computer science, software engineering, or a related discipline.
- 6+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks.
- 5+ years of experience in designing and architecting enterprise solutions, using cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock.
- 1+ years of leadership experience
- Limited immigration sponsorship may be availabl
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
- An advanced degree (e.g., MS in computer science, software engineering, or a related discipline.
- 10+ years of experience in software engineering.
- 3+ years of experience with AI/ML and GenAI, specifically with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept.
- Prior software engineering and product architecture/design foundation with an understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc.
- Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly.