About the position
We're passionate about using data to drive sustainability. You too? Join us as an Enterprise Data Architect at Ramboll Tech, and shape our architecture to be data centric. We are looking for a highly skilled and experienced Data Architect to join our team. You will play a key role in transforming data into a strategic asset, by ensuring it is well-structured, governed and leveraged effectively for business growth. This role is vital to ensuring the seamless integration, management and deployment of data and analytics solutions that support our business needs. You will identify, analyse and proactively recommend how information assets drive business outcomes, to share consistent data throughout Ramboll. You will be a part of our exciting digital transformation journey and play an active role in turning our data ambitions into concrete actions to deliver optimisations and revenue growth targets!
Responsibilities
- Translate complex business requirements into robust, scalable, and secure data architectures aligned with enterprise-wide data strategy.
- Lead the design and implementation of scalable, robust and secure data systems using modern data stack technologies.
- Improve and ensure the overall quality of data, including ease of access and use of data assets.
- Define information and data strategies as a part of an overall business and technology strategy.
- Design and implement integration solutions that connect disparate business systems and data sources.
- Work with data platform teams to design and implement operating models that support efficient data processing.
- Design and develop data models that support business processes, analytics and reporting requirements.
- Actively engage with technology providers to understand critical, data relevant, technology roadmaps.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of professional experience in data architecture, with a strong focus on cloud architecture, data integration and data modelling.
- Deep understanding of the modern data stack and its components.
- Proven experience with cloud platforms such as Microsoft Azure, GCP or AWS.
- Previous engagement in establishing data strategy and data governance.
- Experience in leading data modelling, database design, data warehousing, master data management, data governance practices.
- Strong skills in data modelling, ETL processes and data integration.
- Experience in securing and protection of sensitive information.
Nice-to-haves
- Experience in AEC industry.
- Strong understanding of Building Information Modelling (BIM) principles and applications.
- Experience in developing data pipelines to extract, transform, and load BIM data for analysis and reporting.
Benefits
- Flexible work arrangements.
- Opportunities for professional development and continuous learning.
- Inclusive and supportive work environment.
