Cloud Data Architect: Databricks, Strategy & Governance

RED Global; København; Hybride; DKK 900 000 - 1 200 000; Plein temps

Résumé du poste

RED Global seeks an experienced Data Architect to shape a cloud data transformation programme in a hybrid Copenhagen setting. You will translate business requirements into practical architecture, define a data strategy, and implement a Databricks onboarding approach for data engineers and scientists.

Responsibilities include aligning architecture with IT strategy, enhancing cloud platform capabilities for multiple teams, and leading governance workshops to ensure consistent delivery.

Qualifications

• Proven experience designing data architectures that meet business needs.
• Ability to translate business requirements into scalable data solutions.
• Experience defining and implementing a data strategy across cloud platforms.
• Strong understanding of data modelling concepts and data systems design.
• Experience supporting data or technology transformation programmes.
• Excellent stakeholder management and ability to communicate with technical and non-technical audiences.

Responsabilités

• Design data solutions that connect business requirements with technical delivery.
• Align data architecture with the organisation’s IT strategy and target architecture.
• Enhance cloud platform capabilities for engineering, data science and actuarial teams.
• Develop and drive the implementation of a Databricks onboarding strategy.
• Collaborate with architects, engineers and product owners to guide design decisions and delivery.
• Design flexible data systems that can adapt to changing business needs.
• Strengthen data governance and lead workshops and knowledge sharing to support consistent implementation.

Connaissances

Data architecture

Stakeholder management

Data strategy

Data modelling

Outils

AWS

Databricks

Description du poste

RED Global seeks an experienced Data Architect to shape a cloud data transformation programme in a hybrid Copenhagen setting. You will translate business requirements into practical architecture, define a data strategy, and implement a Databricks onboarding approach for data engineers and scientists.

Responsibilities include aligning architecture with IT strategy, enhancing cloud platform capabilities for multiple teams, and leading governance workshops to ensure consistent delivery.