Data & Analytics , IT
Data Architect – AI
- Full Time
- Denmark
- 42030010
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