Data Architect - Ramboll Tech
Company: Ramboll
Role summary
Data Architect - Ramboll Tech is a role at Ramboll in Copenhagen, Capital Region of Denmark, Denmark (hybrid). Posted 2026-10-14. Experience level: 5-10.
- Job title
- Data Architect - Ramboll Tech
- Company
- Ramboll
- Location
- Copenhagen, Capital Region of Denmark, Denmark
- Work arrangement
- hybrid
- Category
- Software Engineering
- Experience level
- 5-10
- Date posted
- 2026-10-14
This is a fantastic opportunity to join a company passionate about using technology for sustainability. As a Data Architect, you'll play a key role in shaping technological strategies and making a real impact. The role is full-time with excellent growth potential for experienced professionals.
Job description
Job Description
We’re passionate about using technology to drive sustainability. You too? Join us as a Data Architect for Technology Architecture at Ramboll Tech and help us become the leading Tech-Enabled Partner for Sustainable Change.
We are seeking an experienced and results-driven Data Architect to partner with our Architecture, Engineering and Consulting Global Business Areas, who thrives in aligning technology roadmap and strategies with business goals, to drive growth and operational excellence. If you are passionate about collaborating with business leaders to shape strategies and have data-centric mindset, we want to hear from you.
Join Ramboll Tech to support the formulation of business strategy, outcomes and capabilities and make your mark in Ramboll Global Business Areas. You will be a part of our exciting digital transformation journey and play an active role in taking our consultancy business to the next level to deliver ambitious optimisations and revenue growth targets!
WHAT YOU WILL DO
You will join Technology Architecture in Ramboll Tech. You will be working closely with the Enterprise architects, Product architects, AI & Digital products chapter. You will partner with Data product and platform owners and Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling of digital solutions & products across their respective business domains.
As our Data Architect, 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.
Your focus will be on delivering value by shaping data architecture, roadmaps, and solutions that directly address the challenges and opportunities of our business areas. This role requires expertise in modern data management and analysis technologies, alongside a deep understanding of corporate data management best practices.
As we operate in Architecture, Engineering and Construction (AEC), you can expect a considerable focus on building Engineering data warehouses (EDWH). We are looking for a candidate eager to engage in applying data-centric principles to EDWH to leverage generating valuable business insights.
Where you will make an impact:
Business needs: Translate complex business requirements into robust, scalable, and secure data architectures that are aligned with enterprise data strategy and data architecture. We want to unlock new revenue streams and optimise operational efficiency, by leveraging our Enterprise Data Architecture to transform our data into valuable business assets and implement Al-enabled solutions.
Design and implement modern data architectures: Lead the design and implementation of scalable, robust and secure data systems using modern data stack technologies. Ensure data architecture is aligned with business objectives.
Improve and ensure the overall quality of data, including ease of access and use of data assets. Define information and data architecture as a part of an overall business and technology strategy. Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
Support data platform teams: Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution.
Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised for performance and scalability.
Technology roadmaps: Actively engage with technology providers to understand critical, data relevant, technology roadmaps. Explore innovative solutions and evaluate their alignment with business goals and enterprise-wide data strategy
Key responsibilities:
Own and evolve Ramboll Tech’s enterprise data architecture, including data principles, target-state models, and data architecture standards across platforms and products
Lead the data architectural design transforming the data ecosystems into scalable, AI-ready data products that drive strategic business value and operational excellence
Accountable to establish, document, and enforce data architecture standards, data modelling guidelines, and best practices across the organisation
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 that integration points adhere to strict data protection standards across multi-geo environments.
Implement frameworks for data lineage, data cataloging, and automated observability to ensure trust and reliability in data pipelines
Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
Maintaining repositories for representing the data elements including the entities, relationships and attributes, the information flows, and business glossary
Contribute to architectural governance by reviewing datarelated designs, guiding teams, and ensuring alignment with Ramboll’s target architecture.
Collaborate closely with data governance teams to embed data quality, security, and compliance (e.g., GDPR) directly into data integration pipelines and architectural designs.
Work closely with cross-functional teams, including business stakeholders, product owners, data scientists, data engineer and other SME colleagues in Ramboll Tech, to understand data requirements and deliver solutions that meet business needs.
Work with enterprise architects, product architects, developers and engineers to operationalise data architecture and build robust and scalable technology stacks and platforms for digital and analytic solutions
Continuously evaluate and recommend new tools and