Data Center Controls Lead

hace 1 semana

Alcobendas, Madrid, España Data4 Group A tiempo completo
About the Role

We are seeking a highly motivated and experienced Data Center Controls Lead to join our Design & Construction department at Data4 Group. This transversal role focuses on leading all controls aspects of data center design and construction projects.

Key Responsibilities
  • Conceptual Design:
    • Lead the design and development of conceptual and detailed controls systems for new and existing data centers.
    • Analyze power and cooling requirements to optimize efficiency, reliability, and sustainability through integrated controls strategies.
    • Select and specify controls equipment and software based on industry best practices, project requirements, and interoperability considerations.
    • Ensure controls system design seamlessly integrates with other systems (electrical, mechanical, IT) through close collaboration with relevant teams.
  • Construction & Commissioning:
    • Oversee the commissioning process for new and upgraded controls systems, ensuring adherence to project timelines and budgets.
    • Develop and execute comprehensive commissioning plans in accordance with industry standards and best practices.
    • Identify and resolve controls commissioning issues efficiently to maintain project progress.
  • Technical Expertise and Representation:
    • Stay at the forefront of the latest trends and technologies in data center mechanical design and operation.
    • Serve as the company's internal expert on all mechanical aspects of data centers.
    • Provide technical guidance and support to internal stakeholders across various departments.
    • Represent the company in external project meetings, discussions, and negotiations with vendors and consultants.
    • Communicate clearly and concisely to both technical and non-technical audiences, ensuring transparency and understanding.
    • Manage and maintain technical documentation related to data center mechanical systems.
  • Continuous Improvement:
    • Identify opportunities for improvement in data center mechanical systems and processes.
    • Lead the implementation of new technologies and best practices to enhance reliability, efficiency, and sustainability.
    • Analyze data and performance metrics to identify areas for optimization.
    Requirements
    • Education and Experience:
      • Bachelor's degree in Mechanical Engineering or equivalent experience.
      • Minimum of 7+ years of experience in data center design and construction or equivalent experience in critical infrastructure.
      • Proven track record of success in leading and executing complex mechanical engineering projects.
      • English: fluent.
    • Technical Skills:
      • Experience on Mechanical Systems and discipline (HVAC, CFDs, Boilers, Chillers, Pumps, CRAC / CRAH Units, Air Handling Units, etc.)
      • Strong understanding of data center thermal management, power distribution, and fire suppression systems.
      • Experience with commissioning and startup of data center mechanical systems.
      • Professional Engineer (PE) license or equivalent.
      • LEED AP certification or equivalent in Electrical Engineering.
      • Experience with data center infrastructure management software (DCIM) focusing on electrical systems.
      • Experience with project management methodologies and best practices.
    • Soft Skills:
      • Excellent communication, interpersonal, and leadership skills.
      • Strong analytical and problem-solving skills.
      • Proactive: Takes initiative and ownership of tasks without needing constant direction.
      • Accountable: Admits mistakes, learns from them, and delivers on commitments.
      • Agile: Learns quickly and applies new knowledge in practical situations.
      • Collaborative: Works effectively with diverse teams and adapts communication styles accordingly.
      • Resilient: Maintains a positive attitude and composure under pressure.
      • Independent: Works autonomously and takes calculated risks.
      • Data-driven: Makes decisions based on evidence and analysis.

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