Data Architect – Madrid (Hybrid)
At VASS, we are looking for a Data Architect to join our team in Madrid and participate in high-impact international projects.
If you are passionate about designing scalable data solutions and want to work in a dynamic, collaborative environment with a strong technical culture — VASS is the place for you.
We are a global leader in digital transformation, with 26 offices across 4 continents and more than 5,500 professionals. We partner with leading organizations to deliver innovative and scalable solutions, from strategy through execution.
What will you do?
* Design and define data architectures aligned with business and technical requirements
* Lead the design of data models, data flows, and integration strategies
* Ensure scalability, performance, and data quality across platforms
* Collaborate with data engineers, developers, and business stakeholders
* Define best practices, standards, and governance models for data management
* Participate in decision-making regarding tools, technologies, and data platforms
What are we looking for?
* Minimum of 3 years of experience in a similar role as Data Architect (or closely related positions)
* Strong knowledge of data architecture principles, data modeling, and data integration
* Experience with cloud platforms (AWS, Azure, or GCP) and modern data ecosystems
* Solid understanding of databases (SQL and NoSQL) and data warehousing solutions
* Ability to work in collaborative and fast-paced environments
* High level of English (C1) – you will work in an international environment
* Must be based in Madrid, with availability to work 2 days per week onsite at the client’s office (hybrid model)
Nice to have
* Experience with Big Data technologies (Spark, Hadoop, etc.)
* Knowledge of data governance and data quality frameworks
* Experience in agile environments
What do we offer?
* Participation in innovative and international projects
* Stable career path with opportunities for growth
* Hybrid work model (Madrid-based)
* A highly skilled and collaborative team environment