Data Architect - Ramboll Tech at Rambll

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

0.0

Posted On

03 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Data Warehousing, Data Mesh, Data Governance, Metadata Management, Master Data Management, ETL Processes, Cloud Architecture, SQL, Microsoft Fabric, Azure, GCP, AWS, DAMA-DMBOK, Pipeline Design, Data Integration

Industry

Engineering Services

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 technologies that can improve the efficiency and effectiveness of data engineering processing HOW YOU WILL SUCCEED IN YOUR ROLE Key Qualifications: 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. Previous engagement in establishing data architecture 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. Developed data pipelines to extract, transform, and load engineering platform data for analysis and reporting. Experience in 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 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. Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization Familiarity with the DAMA Data Management Framework (DAMA-DMBOK) and its application in managing data as a strategic asset 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, with the ability to convey technical concepts to non-technical stakeholders Proficient in Microsoft Fabric platform (Great to have skill) Relevant certifications in cloud technologies are a plus, such as: Data Engineering certifications, Databricks 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 DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture and delivering solutions to our colleagues and clients. We are curious about other people and their motivations; about new business models and technologies; about each other and the future. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other's successes. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world. HOW WE WORK AS A TEAM Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area. Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for our global teams and individuals, with as much autonomy as possible. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll employs more than 18,000 people globally across 35 countries. Ramboll experts deliver innovative solutions across Buildings, Transport, Water, Environment & Health, Energy, Management Consulting, and Architecture & Landscape. AND WHAT DOES RAMBOLL TECH / GBA INNOVATION AND DIGITAL TRANSFORMATION DO Ramboll Tech / GBA Innovation and Digital Transformation accelerates innovation and digital transformation for the entire Ramboll Group/ GBA and directs all AI initiatives within the company. We digitally enable and co-create with Ramboll’s world-class experts to deliver solutions that drive sustainable change for our clients and society. This includes collaborating with Global Business Areas and Enabling Functions at Ramboll on their digital journey, developing proprietary AI and digital products for Ramboll and our clients, following our product life cycle. Ramboll Tech also works on larger technology projects within Ramboll and provides world-class Technology Operations. Ramboll Tech currently has over 300 employees globally, with strongholds across Nordics, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe. IMPORTANT INFORMATION We don't require a cover letter—just send us your current CV (preferably without a photo) through our application tool, and we're eager to get to know you better in a conversation. Do you have any questions? Feel free to contact Florence Henriet on [email protected]

Responsibilities

Lead the design and implementation of scalable, secure data architectures and AI-ready data products to drive business growth. Own the enterprise data architecture, including standards, data modelling guidelines, and integration solutions across the organization.