Senior Solution Architect – Data Governance & Generative AI

• Salary: Gross monthly salary between EUR 4,931 and EUR 7,043 (scale 09) for a 36-hour work week.
• 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.

Or view all our benefits.

Shape the future of data governance and data marketplaces for more than 40 squads, enabling trusted and reusable data products for thousands of colleagues worldwide.

Build a modern, federated and scalable data landscape where governance is embedded into platforms instead of added afterwards. As Senior Solution Architect, you translate enterprise data principles into practical architectures, standards and patterns that squads adopt in daily work. You operate at the heart of the Global Data & Analytics Platform and combine strategic architecture with hands-on technical design in complex, regulated environments.

• Designing metadata, lineage and glossary architecture supporting both regulatory transparency and self‑service discovery.
• Coaching squads to embed governance controls into pipelines, APIs and platform components.
• Defining guardrails so data context, quality and policy constraints are preserved in generative AI solutions.

• 36 hours per week.
• You influence data governance and data platform architecture for more than 40 squads across 4 platform areas.
• Over 48,000 Rabobank colleagues worldwide.

• Design enterprise-wide governance architecture for metadata, lineage, data quality, protection and AI-ready data foundations in a regulated environment.
• Guide squads from architectural principles to concrete implementations across cloud, on‑premises and hybrid platforms.
• Connect governance, platform engineering and generative AI by shaping future‑proof data and context foundations.

Design and evolve governance and data marketplace capabilities that improve discoverability, reuse and trust of data products, while supporting scalable platforms and responsible use of generative AI within Rabobank.

We believe in the power of differences. By combining people's differences, we become an even better bank. We are curious about what you will bring to our team.

‘This is not an ivory‑tower role, but architecture that engineers and product teams use every day.’

The teams are responsible for building and governing the Global Data & Analytics Platform. Collaboration is our way of working; as one expert and solution‑oriented team within Rabobank.

For us, your development and that of society go hand in hand. That is why we invest in you and work together to create a better world. At Rabobank, you work on yourself and the world around you simultaneously.
This is reflected in your personal development budget, our hybrid work environment and a healthy work‑life balance. You also contribute to banking solutions for customers and to social challenges like the food and energy transitions.

At Rabobank, we work towards a culture where everyone feels welcome. We value differences and use them to collaborate better and make stronger decisions. By listening to different perspectives, we build an organisation where people enjoy working and where we truly understand and serve our customers.

You & your talent
We are especially interested in people who combine architecture with hands-on engineering experience.

• At least 7 years of experience in software engineering, platform engineering, data engineering, solution architecture, or a combination of these.
• At least 5 years of experience designing and implementing complex architectures in cloud, on-premises and hybrid environments.
• Solid hands-on experience with data governance, including metadata, lineage, data quality, policy implementation, data protection and operational governance patterns.
• Experience with data marketplace, data product discoverability, cataloguing and stewardship concepts.
• Strong familiarity with open-source data governance, metadata or platform technologies, and the ability to assess where open-source fits in an enterprise environment.
• Experience translating governance and compliance requirements into practical technical controls and platform designs.
• Understanding of context engineering, semantic modelling, metadata design, or related approaches that improve data usability for analytics, automation and AI.
• Experience with, or strong affinity for, generative AI architectures, especially where trusted enterprise data, retrieval, metadata, policy enforcement and explainability matter.
• Strong communication skills and the ability to work with engineers, architects, product owners, security specialists, data stewards and senior stakeholders.
• A pragmatic mindset: strategic when needed, but always grounded in implementation reality

You stand out even more if you have:

• A background as a software engineer or platform engineer before moving into architecture.
• Experience with modern metadata ecosystems, knowledge models, developer platforms or internal data platforms.
• Familiarity with the Linux Foundation AI & Data landscape or comparable open ecosystems.
• Experience balancing enterprise governance needs with product team autonomy and developer experience.
• A strong point of view on how governance should be embedded into engineering workflows, not just oversight processes
• Experience designing data and context foundations for generative AI, copilots, retrieval-augmented systems or intelligent agents.

• If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule the interviews.
• You can find answers to frequently asked questions here.
• Assessments and a reliability assessment are part of the procedure; we respect your privacy.

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