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.
Solliciteren