Language : English and Dutch mandatory
ZZP Allowed : No

Job Title
Solution Architect

Job Description
We are looking for a Solution Architect with an affinity for data and process, specifically in a marketing setting. Within the area of Customer Engagement, we are responsible for the Marketing stack and outbound communications stack. That includes a lot of data logistics and governance. The role entails supporting teams working on configuring outbound communication and marketing strategies and helping with the data governance needed for this. And in addition, working to create a more unified process for data and marketing including figuring out a more future proof architecture for dealing with data change and marketing. This all with regards for the privacy and security of the customer in mind.
As a solution architect you are not expected to know all the answers, but you should be very eager and proactive to find them. You need to be able to operate independently and should have the right communication skills to talk with different stakeholders.
Basic requirements:
• 5+ years of experience in IT, with at least 3 years in a Solution Architect, senior Business analyst with technical and architecture skills or Lead Data Engineer role with data analysis experience.
• Experience with marketing analytics, customer journey mapping, statistical modeling, campaign performance tracking, Marketing Campaign management and attribution modeling.
• Experience in designing data solutions on Microsoft Azure (e.g., Azure Data Factory, Synapse Analytics, Azure SQL, Data Lake, Databricks).
• Excellent communication skills to engage with both technical and non-technical stakeholders.
• Experience with marketing data platforms, customer data platforms (CDPs), or tools like BlueConic (a plus), Adobe Experience Platform, Salesforce Marketing Cloud, or similar.
• Knowledge of architecture frameworks and methodologies (e.g., TOGAF, ArchiMate, DYA). Certification is a plus.
• Experience with data privacy regulations (e.g., GDPR) and compliance in data architectures.
• Knowledge of Pega Customer Decision Hub and propensity models are a plus.
• Knowledge of GenAI in a marketing setting is a plus.
• Fluent in English and Dutch.