Cloud Data Architect for Innovative Solutions

3 days ago


Gentofte, Gentofte Kommune, Denmark Implement Consulting Group Full time

Implement Consulting Group is a dynamic and forward-thinking organization, committed to empowering businesses through cutting-edge data advisory services.

We strive to unlock the immense potential of data by leveraging passionate expertise in analytics and artificial intelligence, enabling organizations to become fit for the digital future.

The role we are looking for is that of a highly skilled and experienced cloud data architect.

Key Responsibilities:
  • Design and Implement Modern Data Architectures: Lead the design and implementation of scalable, robust, and secure data systems using modern data stack technologies, ensuring alignment with business objectives and best practices.
  • Support Data Platform Teams: Collaborate with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting, and AI model deployment and execution.
  • Cloud Architecture Expertise: Develop and manage cloud-based data solutions on platforms such as Microsoft Azure, GCP, or AWS, optimizing cloud infrastructure for performance, cost, and scalability.
  • Integration Architecture: Design and implement integration solutions that connect disparate business systems and data sources, ensuring seamless data flow across the organization.
  • Data Modelling: Design and develop data models that support business processes, analytics, and reporting requirements, ensuring that data models are optimized for performance and scalability.
  • Deploy Analytics and AI Solutions: Lead the deployment of analytics and AI solutions to ensure they are integrated into existing systems and processes, providing guidance on best practices for model deployment and monitoring.
  • Stakeholder Collaboration: Work closely with cross-functional teams, including business stakeholders, data scientists, and IT to understand data requirements and deliver solutions that meet business needs.
  • Mentorship and Leadership: Provide mentorship and guidance to junior data engineers and other team members, fostering a culture of continuous learning and improvement within the team.
Requirements:
  • Educational Background: Bachelor's degree in computer science, engineering, information technology, or a related field (master's degree preferred).
  • Experience: At least five years of experience in data engineering with a strong focus on cloud architecture, data integration, and data modelling.
  • Technical Expertise:
    • Deep understanding of the modern data stack and its components.
    • Proven experience with cloud platforms such as Microsoft Azure, GCP, or AWS.
    • Strong skills in data modelling, ETL processes, and data integration, having been part of one or several data platform teams.
    • Experience in deploying analytics and AI solutions in a cloud environment.
  • Analytical Skills: Exceptional problem-solving skills with the ability to design innovative solutions to complex data challenges.
  • Communication Skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Leadership Ability: Proven ability to lead projects and mentor junior team members.
  • Certifications: Relevant certifications in cloud technologies are a plus, such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Data Engineering certifications, Snowflake certifications, Databricks certifications, Kafka certifications.


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