EQUALITY, DIVERSITY, AND INCLUSION ARE AT THE HEART OF WHAT WE DO

We believe in the strength of diversity and know that unique experiences and perspectives are vital for creating truly sustainable societies. Therefore, we are committed to providing an inclusive and supportive work environment where everyone can flourish and reach their potential. We welcome applications from candidates of all backgrounds and encourage you to contact our recruitment team to discuss any accommodations you need during the application process.

JOB DESCRIPTION

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!

EDUCATION:

• 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.
• 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, having worked with data platform teams.
• Experience in securing and protection of sensitive information
• Experience in AEC industry is great to have. An ideal candidate will have a strong understanding of Building Information Modelling (BIM) principles and applications. Applied data-centric principles to BIM data, enabling integration with enterprise systems (e.g., improved project management, cost control, and facilities management). Developed data pipelines to extract, transform, and load BIM data for analysis and reporting. Explored opportunities to leverage BIM data for generating valuable insights, predictive and prescriptive maintenance

SKILLS:

• Exceptional analytical and problem-solving skills with the ability to design innovative solutions to complex data challenges.
• Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management.
• Familiarity with the DAMA Data Management Framework (DAMA-DMBOK) and its application in managing data as a strategic asset
• Understanding of BIM principles, data structures (IFC), BIM software APIs, and BIM data integration with enterprise systems. (Great to have skill)
• Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
• A strategic mindset with the ability to navigate and influence within a matrixed organization
• Proven ability to lead projects and mentor junior team members
• Relevant certifications in cloud technologies are a plus, such as: Microsoft Certified Azure Solutions Architect Expert, or Data Engineering certifications, Snowflake certifications, Databricks certifications, Kafka certifications
  We encourage you to apply even if your profile does not meet all the requirements for the role. We are looking for a diverse range of experiences, skills, and interests to enrich our team.

WHAT YOU WILL DO

You will join Technology & Data Architecture in Ramboll Tech. You will be working across Ramboll, with focus on enterprise data layer, in collaboration with Domain Enterprise Architects, Data Strategy and Data Platform teams. You will partner with Innovation and Digital Transformation Directors—who drive digitalisation, innovation, and scaling of digital solutions & products across their respective business domains.
As our Enterprise 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 strategies, 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 Consulting (AEC), you can expect a considerable focus on Building Information Modelling (BIM). We are looking for a candidate eager to engage in applying data-centric principles to BIM data to leverage generating valuable business insights.

KEY RESPONSIBILITIES:

• Work with solution architects, developers and engineers to operationalise Data Strategy and build robust and scalable technology stacks and platforms for D&A solutions
• Partner with our Domain Enterprise Architects to understand business objectives. Develop and manage cloud-based data solutions on platforms such as Microsoft Azure, GCP or AWS. Optimise cloud infrastructure for performance, cost and scalability.
• Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
• Work closely with cross-functional teams, including business stakeholders, data scientists, data engineer and other SME colleagues in Ramboll Tech, to understand data requirements and deliver solutions that meet business needs.
• Maintaining repositories for representing the data elements including the entities, relationships and attributes, the information flows, and business glossary
• Provide mentorship and guidance to junior data engineers and other team members. Foster a culture of continuous learning and improvement within the team
• Continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processing
• Coach and mentor other architects, product teams and business stakeholders to instil architectural thinking, with focus on business, data/information and solution architecture.
• Effectively provide guiding principles, standard and minimal viable architectures, technology governance model informed by business strategy and corporate governance.