Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du Datenarchitekturen und -systeme, optimierst die Datenflüsse für Analyse und Reporting und sorgst für eine effektive Datenintegration über verschiedene Unternehmensbereiche hinweg.
Job Technologien
Deine Rolle im Team
- 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.
- 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!
- 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.
- 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.
- 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.
- Work with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting and AI model deployment and execution.
- Design and develop data models that support business processes, analytics and reporting requirements.
- Ensure that data models are optimised for performance and scalability.
- 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.
- 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.
- 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.
Unsere Erwartungen an dich
Ausbildung
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Qualifikationen
- Deep understanding of the modern data stack and its components.
- Previous engagement in establishing data architecture and data governance.
- Strong skills in data modelling, ETL processes and data integration, having worked with data platform teams.
- Developed data pipelines to extract, transform, and load engineering platform data for analysis and reporting.
- 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.
Erfahrung
- 5+ years of professional experience in data architecture, with a strong focus on cloud architecture, data integration and data modelling.
- Experience in leading data modelling, database design, data warehousing, master data management, data governance practices.
- Experience in securing and protection of sensitive information.
- Experience in AEC industry is great to have.
- Experience in implementing decentralized data products within a Data Mesh architecture.
- Proven experience with cloud platforms such as Microsoft Azure, GCP or AWS.
Unser Angebot
- 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.
- 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.
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Ramboll Group
Ramboll Management Consulting ist Teil des dänischen Ramboll-Konzerns, der mit mehr als 15.000 Mitarbeiterinnen und Mitarbeitern zu den international größten Beratungsgruppen gehört.
Description
- Gründungsjahr
- 1945
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Beratung
Data Architect
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
