Data Architect - Ramboll Tech

Data Architect, Technology Architecture

Company: Ramboll Tech

About Ramboll Tech:
Ramboll Tech is on an exciting digital transformation journey, aiming to become the leading Tech-Enabled Partner for Sustainable Change. We are passionate about using technology to drive sustainability and are looking for individuals who share this passion. Our team culture is built on curiosity, optimism, ambition, and empathy, fostering continuous learning and growth.

About the Role:

We are seeking an experienced and results-driven Data Architect to partner with our Architecture, Engineering, and Consulting Global Business Areas. You will play a key role in transforming data into a strategic asset, ensuring it is well-structured, governed, and leveraged effectively for business growth. This role focuses on shaping data architecture, roadmaps, and solutions that address the challenges and opportunities within the Architecture, Engineering, and Construction (AEC) sector, with a significant focus on building Engineering Data Warehouses (EDWH).

What You Will Do:

• Translate complex business requirements into robust, scalable, and secure data architectures aligned with enterprise 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 architecture as part of an overall business and technology strategy.
• Design and implement integration solutions that connect disparate business systems and data sources.
• Support data platform teams in designing and implementing operating models for efficient data processing, integrations, reporting, and AI model deployment.
• Design and develop data models optimized for performance and scalability.
• Actively engage with technology providers to understand critical, data-relevant technology roadmaps and explore innovative solutions.

Key Responsibilities:

• Own and evolve Ramboll Tech’s enterprise data architecture, including data principles, target-state models, and data architecture standards.
• Lead the data architectural design, transforming data ecosystems into scalable, AI-ready data products.
• Establish, document, and enforce data architecture standards, data modelling guidelines, and best practices.
• Define and maintain enterprise and domain data models.
• Shape data products, contracts, and interoperability patterns.
• Guide data platform usage (e.g., DWH / EDWH / Fabric / analytics layers).
• Ensure integration points adhere to strict data protection standards.
• Implement frameworks for data lineage, data cataloging, and automated observability.
• Maintain repositories for data elements, information flows, and business glossary.
• Contribute to architectural governance by reviewing data-related designs and guiding teams.
• Collaborate closely with data governance teams to embed data quality, security, and compliance into data pipelines and architectural designs.
• Work closely with cross-functional teams, including business stakeholders, product owners, data scientists, and engineers.
• Operationalize data architecture and build robust technology stacks and platforms.
• Continuously evaluate and recommend new tools and technologies.

How You Will Succeed:

Key Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience:

• 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.
• Previous engagement in establishing data architecture and data governance.
• Experience in leading data modelling, database design, data warehousing, master data management, and data governance practices.
• Experience in securing and protection of sensitive information.
• Experience in the AEC industry is a plus.
• Developed data pipelines to extract, transform, and load engineering platform data.
• Experience implementing decentralized data products within a Data Mesh architecture.
• Proven experience with cloud platforms such as Microsoft Azure, GCP, or AWS.

Skills:

• Exceptional analytical and problem-solving skills.
• Proficiency in Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management.
• Skilled in leading the lifecycle of production-grade data products.
• Familiarity with the DAMA Data Management Framework (DAMA-DMBOK).
• Understanding of engineering platforms and data integration with engineering systems (Great to have skill).
• Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design.
• Excellent communication and interpersonal skills.
• Proficient in Microsoft Fabric platform (Great to have skill).
• Relevant certifications in cloud technologies are a plus.

We encourage you to apply even if your profile does not meet all the requirements. We are looking for a diverse range of experiences, skills, and interests to enrich our team.