Chapter Lead Data Engineering & Visualization

Discipline Excellence & Standards

• Define and maintain standards, methods, and best practices for data engineering, visualization, and data-driven applications.
• Ensure consistent application of architectural guidelines, code quality standards, and visualization principles across products and projects.

Capabilities and Staffing

• Own capability planning for the Data Engineering & Visualization chapter, ensuring the right skills are available for project needs.
• Define hiring profiles, support recruitment, and identify capability gaps, staffing risks, and succession needs.

Professional Growth & Career Development

• Coach and mentor chapter members, supporting their technical and professional development.
• Define role expectations and recommend relevant learning opportunities, trainings, and career development measures.

Collaboration & Delivery Support

• Partner with product teams and stakeholders to deliver scalable data and visualization solutions.
• Support teams in translating complex data and analytics results into intuitive, user-friendly interfaces and applications.

Knowledge Sharing & Community Building

• Drive knowledge sharing across the chapter through chapter calls, best-practice sessions, technical exchanges, and reusable standards.
• Promote collaboration, reuse of proven solutions, and continuous improvement across teams.

Skill-Based Performance & Talent Input

• Collect structured, skill-based feedback in collaboration with project leads and People Leads.
• Provide technical and development-related input for performance and talent discussions, without owning HR processes.

• Fluent English, German is a plus
• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• More than 10 years of experience working in and leading data engineering, visualization, analytics, frontend, and/or full stack development projects, ideally in Data Science / Analytics environments.
• Strong problem-solving, communication, stakeholder management, coaching, and technical leadership skills.
• Deep expertise in data engineering and visualization concepts, with strong practical experience in Python, SQL, data pipelines, APIs, and modern frontend technologies such as React and Next.js.
• Proven ability to define technical standards, drive best practices, and ensure consistent implementation across multiple products, projects, and teams.
• Experience in mentoring developers, data engineers, or visualization experts and supporting professional growth through coaching and targeted learning.
• Solid experience with RESTful APIs, microservice architecture, CI/CD, Docker, and preferably Kubernetes.
• Experience with cloud-based data platforms, analytics tools, dashboarding, and visualization frameworks is highly desirable.