Cloud Data Architect Lead for Advanced Data Solutions

4 days ago


Copenhagen, Copenhagen, Denmark Implement Consulting Group Full time

Unlock the Power of Data

The Implement Consulting Group is a leading consultancy that empowers organisations to harness the full potential of data, AI, and analytics. As a fast-growing company, we help our clients navigate the ever-evolving digital landscape.

We are seeking an experienced Cloud Data Architect to join our team. The ideal candidate will have a deep understanding of modern cloud architecture, data integration, and data modelling. This role is crucial in ensuring seamless data management, deployment, and integration solutions that support our clients' business needs.

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. Ensure architecture is aligned with business objectives and best practices.
  • Support Data Platform Teams: Work closely 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. Optimise cloud infrastructure for performance, cost, and scalability.
  • Integration Architecture: Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data flow across the organisation.
  • Data Modelling: Design and develop data models that support business processes, analytics, and reporting requirements. Ensure data models are optimised 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. Provide 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. Foster a culture of continuous learning and improvement within the team.
  • Stay Current with Emerging Technologies: Continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processes for our clients.

Requirements:

  • Educational Background: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (master's degree preferred).
  • Experience: At least 5 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, or Kafka certifications.

Salary Estimate: £80,000 - £110,000 per annum, depending on experience and qualifications.



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