Data Architect – Ramboll Tech

Overview

In this role you will transform data into a strategic asset within Ramboll Tech, aligning data architecture with business goals to enable growth and operational excellence. You will collaborate with enterprise and product architects, data platform teams, and cross-functional stakeholders to design scalable, secure data solutions across EDWH-oriented ecosystems. This position offers the chance to shape data products and governance in a high-impact, sustainability-oriented organization. You will drive data maturity and enable AI-enabled decision-making across Ramboll’s Global Business Areas.

Pay / Benefits

• hybrid work
• flexible work arrangements

Responsibilities

• Own and evolve the enterprise data architecture across platforms and products
• Lead design of scalable, AI-ready data ecosystems delivering business value
• Establish and enforce data architecture standards, modeling guidelines and best practices
• Define enterprise and domain data models and data products contracts
• Shape data product interoperability and data platform usage (DWH/EDWH/Fabric/analytics layers)
• Ensure data integration points meet data protection standards across multi-geo environments
• Implement data lineage, cataloging, and observability for trustworthy pipelines
• Collaborate with governance teams to embed data quality, security and compliance into pipelines
• Work with cross-functional teams to translate requirements into robust data solutions
• Collaborate with architects, developers and data scientists to operationalise data architectures

Key requirements

• 5+ years in data architecture with cloud experience
• Strong data modelling, data warehousing, data governance and ETL skills
• Experience with data integration and working with data platform teams
• Proven ability to design data models that support analytics and reporting
• Experience securing sensitive information and working in multi-geo environments
• Experience with cloud platforms (Azure, GCP, AWS) and modern data stack
• Knowledge of DAMA-DMBOK framework and data management best practices
• Excellent communication to translate technical concepts for stakeholders

• Excellent communication and collaboration
• Analytical and problem-solving mindset
• Bias for action and ability to lead across teams
• Data Modelling (Conceptual/Logical/Physical)
• Data Warehousing, Data Lakes, Data Mesh
• Data Governance, Metadata Management, Master Data Management

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