Solution Architect CDD Detection

Shape the architecture behind machine learning solutions that support customer event detection across 3 specialised teams and help drive a rapidly growing domain within Rabobank.

You and your job

Drive scalable and secure analytics and machine learning architecture as a Solution Architect by translating complex business needs into robust technical designs. In this role, you work closely with data scientists, engineers, platform teams, product management, policy stakeholders, and customers to build and guide enterprise-grade analytics platforms. As Solution Architect you contribute directly to reliable, compliant, and future-proof data and AI solutions across Rabobank.

This is what we offer you

• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Practical examples

• Designing architecture solutions for machine learning models that analyse customer events and signals.
• Supporting teams in building and improving analytics platforms and machine learning environments on Azure.
• Translating requirements from product management, policy stakeholders and engineering teams into technical solutions.

Facts & Figures

• You will work across 3 teams consisting of approximately 5 to 6 colleagues per team.
• The approximately 17 colleagues across the CDD Detection teams build and evolve machine learning capabilities that help analyse customer signals and events.

Top 3 responsibilities

1. Define scalable and secure architecture by translating business requirements into robust analytics and machine learning solutions aligned with enterprise standards.
2. Analyse existing landscapes to identify risks, gaps, and opportunities and guide the evolution towards future-proof architectures.
3. Enable and align squads by providing architectural guidance, ensuring adoption of best practices in MLOps, security, and software engineering.

You shape enterprise analytics and machine learning platforms, strengthen architectural governance, and enable scalable data-driven innovation by connecting business, data, and technology in a global banking context.

Together we achieve more than alone

“Communication and collaboration are extremely important in this role. A successful Solution Architect is able to connect with stakeholders, engineers, product management and policy teams, and make the right translation between them.”

Roy van Dijk, Tech Lead

Working together is the way we work; as 1 technical team at Rabobank.

Work on yourself & the world around you

For us, your development and that of society go hand in hand. That's why we want to invest in you and work together to create a better world. This is reflected in your personal development budget, our hybrid work environment, and a healthy work-life balance. You contribute to banking solutions and to societal challenges such as the food and energy transitions.

You and your talent

• 7+ years of experience in machine learning, data science, solution architecture, or a related field.
• Strong knowledge of analytics platforms and machine learning environments.
• Solid understanding of Azure cloud architecture and the Microsoft Azure ecosystem.
• Hands-on expertise with Databricks on Azure and Azure Machine Learning Services.
• Proficiency in Apache Spark and Apache Airflow.
• Knowledge of MLOps and CI/CD practices within cloud-based machine learning environments.
• The ability to translate complex technical concepts into clear, actionable insights for a variety of stakeholders.
• A natural collaborator who enjoys bringing people together and fostering teamwork.
• Strong relationship-building skills and the ability to connect with diverse stakeholders.
• A coaching mindset, with a talent for encouraging and supporting others in their growth.
• Excellent communication skills, enabling you to engage effectively with engineers, product managers, policymakers, and senior stakeholders alike.