Data Architect / Solutions Architect - Continental Europe (Location - Germany, France, Amsterdam or Spain)
Advisory Segment
Digital & Teknologi / Informationsteknologi
Geografisk position(er)
Amsterdam '- Noord-Holland - Netherlands, City Center - Madrid, Comunidad de - Spain, Duesseldorf - Nordrhein-Westfalen - Germany, Frankfurt am Main - Hessen - Germany, Paris - Ile-de-France - France

As Solutions Architect you will lead the design of technology solutions for key digital and data products across Continental Europe. 

This position is cross-functional in nature, requiring strong working relationships with multiple teams including Software and Data Engineering, Product Management, UX/UI, data science and BI teams globally distributed to ensure a successful implementation of the different products.

Key Responsibilities
Design well architected software and data solutions to ensure robustness, scalability and reusability; applying modern technology stack and complying with CBRE’s internal build policies including those specific to DevSecOps.
Work with technical teams, businesses and end-users to successfully design Data platforms and Web applications, helping to choose correct technologies based on business strategy, capabilities and requirements.
Continuously expand, optimize and enhance our data platform architecture to enable the business data strategy by partnering with data engineering, data science, data analytics and business teams.
Design the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud database technologies, and partner with engineering teams on its implementation.
Partner with the different engineering teams on the successful implementation of the products and platforms.
Partner with team engineering leads in order to support engineering teams on solutioning and applying best practices for software development technology and methodologies.

Person Specification/Requirements 
Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred) and +5 years’ experience in a similar role.
Effective communication and excellent presentation skills in English.
Team player with self-confidence, assertiveness, and decisiveness as well as great problem-solving skills and growth mindset.
Adept at balancing multiple products.
Ability to communicate complex concepts to non-technical and non-data audiences.
Exceptional technical knowledge on software development, data and DevSecOps paired with a strong execution will. Commercial and legal awareness (e.g. data privacy, cybersecurity) welcomed.
Technical proficiency desirable:
Programming / analytics languages like Python.
Web application using React and NodeJS.
Familiar with cloud architecture: AWS/Azure cloud and data services.
Data analytics tools (Power BI / Tableau / Esri ArcGIS).
Database architecture with Relational database, preferably Postgres
ELT / ETL / data Integration tools experience, preferably SnapLogic / Informatica
Data warehouse experience, preferably on Snowflake.
Data modelling techniques preferably Data Vault 2.0.
Agile development environment including DevSecOps for CI/CD.