Data Architect – AI

Join a pioneering energy company based in Denmark, driving the transformation towards a sustainable and renewable energy future.

We are seeking a skilled Data Architect, you will be responsible for designing and overseeing the architecture that supports advanced AI and machine learning solutions across the organization. You will collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to create scalable data architectures that unlock the full potential of AI for energy optimization, predictive maintenance, and strategic decision-making.

Key Responsibilities:

• Design, develop, and maintain robust, scalable, and flexible data architectures to support AI and machine learning initiatives across the company.
• Collaborate with AI and data science teams to ensure seamless integration of AI models into the broader data ecosystem.
• Define and implement data governance, security, and privacy standards, ensuring compliance with industry regulations and best practices.
• Develop and manage data pipelines for large-scale data ingestion, processing, and analysis from multiple sources.
• Optimize data storage solutions (relational and non-relational databases) to ensure efficient performance and accessibility for AI-driven applications.
• Stay current with advancements in AI, data engineering, and cloud technologies to continuously improve the data infrastructure.
• Provide technical leadership and mentoring to data engineers and other members of the data team.

Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Extensive experience in designing and implementing data architectures, with a focus on supporting AI and machine learning applications.
• Proficiency in data modeling, ETL processes, and working with both structured and unstructured data.
• Strong experience with cloud platforms (AWS, Azure, GCP) and data storage solutions such as SQL, NoSQL, and distributed databases.
• Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines.
• Expertise in data governance, security, and privacy best practices.
• Excellent problem-solving skills and the ability to lead technical discussions and solutions.

If of interest, please send your CV to logan.kelly@peglobal.co.uk