Data Architecture Lead

About the Role

As a Data Architecture Lead , you’ll lead and grow a team of skilled data architects to design, implement, and scale modern enterprise data solutions. You’ll define the organization’s data architecture strategy, ensuring our platforms are robust, secure, and future-ready. This role combines hands-on technical leadership with strategic vision - shaping how data supports business growth and innovation.

Key Responsibilities

• Lead, mentor, and develop a high-performing team of data architects.
• Define and execute the enterprise data architecture roadmap, including data warehouses, lakes, and streaming solutions.
• Set and enforce data architecture standards, best practices, and governance principles.
• Partner with business and technology leaders to translate strategy into scalable data solutions.
• Evaluate and adopt emerging technologies to strengthen data capabilities.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 10+ years of experience in data engineering and architecture, including 4+ years in leadership.
• Proven success designing large-scale enterprise data solutions (cloud, warehouse, streaming).
• Strong expertise in SQL, data modeling, and programming (Python, Java, or Scala).
• Deep knowledge of cloud data platforms (preferably GCP) and governance best practices.
• Preferred: Experience with DataOps, data mesh/fabric, MLOps, and cloud certifications.

Extra

• The opportunity to work with cutting-edge data technologies in a global environment.
• A competitive salary package with benefits such as meal vouchers, company car, and insurance coverage.
• Flexible working hours, home office options, and a strong focus on work-life balance.
• An easily accessible work location.
• A people-centric culture that values your physical and mental well-being.
• Enjoy lunch breaks and sports facilities in the company’s green zone.
• Access to LinkedIn Learning and numerous in-house and external training opportunities.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 10+ years of experience in data engineering and architecture, including 4+ years in leadership.
• Proven success designing large-scale enterprise data solutions (cloud, warehouse, streaming).
• Strong expertise in SQL, data modeling, and programming (Python, Java, or Scala).
• Deep knowledge of cloud data platforms (preferably GCP) and governance best practices.
• Preferred: Experience with DataOps, data mesh/fabric, MLOps, and cloud certifications.

• A competitive salary package with benefits such as meal vouchers, company car, and insurance coverage.
• Flexible working hours, home office options, and a strong focus on work-life balance.
• An easily accessible work location.
• A people-centric culture that values your physical and mental well-being.
• Enjoy lunch breaks and sports facilities in the company’s green zone.
• Access to LinkedIn Learning and numerous in-house and external training opportunities.