7 дней назад
Lead Data Architect (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Architect (Databricks) (Data Platforms/Lakehouse): Designing and delivering scalable data platform architectures for customer projects with an accent on cloud platforms, distributed processing, governance, and security. Focus on leading technical teams, facilitating architecture workshops, staying hands-on with Databricks and implementation, and applying data mesh and DataOps practices.
Location: Eschborn, Germany. Flexible working hours and the possibility to work from home are available.
Company
Zühlke is a global transformation partner providing technology strategy, digital solutions, applications, and device and systems engineering for clients across regulated industries.
What you will do
- Design end-to-end data architectures and strategies for customer projects.
- Lead technical teams, review designs, solve complex problems, and guide day-to-day architectural decisions.
- Run customer workshops, design sessions, and architecture reviews as a trusted technical advisor.
- Support pre-sales and proposal work by scoping technical effort, validating estimates, and contributing technical content.
- Stay hands-on with code, Databricks, and cloud platforms to validate architecture decisions.
- Apply agile, DevOps, DataOps, lakehouse, data mesh, governance, and security practices while mentoring engineers.
Requirements
- Experience designing and delivering production data platforms for real customer projects.
- Consulting mindset with the ability to structure ambiguous problems, facilitate workshops, and translate business needs into technical direction.
- Hands-on experience with Azure and/or AWS, lakehouse architectures, distributed processing, data modeling, containerization, and data governance.
- Strong technical leadership, ownership, communication, and commitment to clean, maintainable systems.
- Excellent German and English communication skills are required.
- Degree in Computer Science or a comparable technical field.
Nice to have
- Experience with Databricks, Delta Lake, Unity Catalog, and MLflow.
Culture & Benefits
- Flexible working hours and the possibility to work from home.
- Profit share in addition to the annual salary, based on the company’s previous-year success.
- Global and diverse community across 16 offices, with team camps and local celebrations.
- Professional development support focused on building skills for client and personal impact.
- Safe, healthy, and inclusive workplace.
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