Global Data Management Expert
7 days ago
Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable development.
We believe in creating a better world by driving positive change through sustainable development.
Job DescriptionRole Overview
We are seeking an experienced Enterprise Data Architect to join our Technology & Data Architecture team. As a key member of our data strategy team, you will play a crucial role in transforming data into a strategic asset, ensuring it is well-structured, governed, and leveraged effectively for business growth.
You will be responsible for designing and implementing modern data architectures, improving the overall quality of data, and supporting data platform teams in designing and implementing operating models that support efficient data processing, integrations, reporting, and AI model deployment and execution.
Key Responsibilities
- Work with solution architects, developers, and engineers to operationalize data strategy and build robust and scalable technology stacks and platforms for data and analytics solutions.
- Partner with Domain Enterprise Architects to understand business objectives and design integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
- Collaborate with cross-functional teams, including business stakeholders, data scientists, data engineers, and other SME colleagues in Ramboll Tech, to understand data requirements and deliver solutions that meet business needs.
- Provide mentorship and guidance to junior data engineers and other team members.
- Continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processing.
Qualifications
- 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 modeling.
- Deep understanding of the modern data stack and its components.
- Proven experience with cloud platforms such as Microsoft Azure, GCP, or AWS.
- Experience in leading data modeling, database design, data warehousing, master data management, data governance practices.
Skills
- Exceptional analytical and problem-solving skills with the ability to design innovative solutions to complex data challenges.
- Data modeling, data warehousing, data governance.
- Advanced knowledge of data modeling 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.
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