Your challenges

Translating business needs and high-level architectural plans into detailed specifications
Conducting technical reviews to ensure alignment with architectural guidelines
Orchestrating the integration of various system components
Leading technical teams in the execution of architectural plans
Extensive stakeholder management with our clients
Tutoring and mentoring of junior team members
Assuring quality and security in architectural implementations
Provide expert input to request for proposals (RFP’s) for tenders

This is what you bring

A master's degree in Computer Science or a related field and 4-8 years of relevant working experience
Comprehensive knowledge of architectural patterns and best practices
Proficient in multiple programming languages (e.g. Python, Java, Go)
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Adept at communicating complex technical concepts clearly
Experience working with Architecture Frameworks (e.g. TOGAF)
Proven experience as a lead of a multidisciplinary team
You currently live in the Netherlands

* These criteria are an indication of the profile we are looking for. Research shows that male candidates often apply when they see a 60% match with the profile, while women only apply when they see a 100% match. If you don't meet all the criteria but you do believe that this is the right position for you, we kindly invite you to apply anyway or get in touch.

What will you do in this position?

In this role, you will operate at the intersection of Solution and Enterprise Architecture. Your primary responsibility will be to dissect business needs and high-level architectural plans from Solution Architects and refine them into detailed blueprints for implementation at our clients. This involves a deep understanding of technologies, patterns, and best practices. You will work alongside hybrid data engineers and data scientists in our Advanced Analytics and Big Data team to develop business opportunities and bring the architectures and solutions to life.

We combine our extensive business acumen with state-of-the-art technologies to guide our clients through their most challenging architectural demands. Our hybrid data engineers are a dynamic mix of Cloud Engineers, DevOps Engineers, Solution Architects, along with experts in various data engineering disciplines. We adopt a pragmatic approach, leveraging any cloud provider or technology stack that aligns with our clients' objectives. Serving diverse sectors like retail, banking, and healthcare, we guide our clients in becoming resilient, data-driven organizations.

Change the face of the world with (Big) Data and AI. At KPMG we combine deep business experience with cutting-edge data, analytics and AI capabilities to provide our clients with new ground-breaking insights. We work with the common cloud Data & AI stacks, open source building blocks and (Generative) AI services to bring these insights to our clients.Together with data scientists and engineers we tackle our clients' most analytically demanding problems and research innovative technologies that will change the face of the world. It is your role to work with our engineers to envision, design and implement future-proof Data and AI solutions for our clients.

This is what we offer

Competitive salary, a bonus, a fixed expense allowance and a working from home allowance.
30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days.
A completely furnished home office
A lease car or a mobility budget.
A laptop and iPhone which also can be used privately.
Pension accrual without a compulsory personal contribution.
Choice to pick from different courses which contribute to your own personal and professional development.
Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs.
‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues.