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Lead Data Architect(m/w/x)
Architecting data platforms for advanced applications, operationalizing ML prototypes into production systems for a global tech strategy partner. In-depth data engineering and machine learning knowledge required. Profit share scheme.
Requirements
- Passion for sustainable software architecture
- In-depth knowledge in data engineering and machine learning
- Strong communication skills
- Architectural decisions guided by non-functional requirements
- Awareness of architectural choices impact on implementation
- Completed university degree in Computer Science, Mathematics, or similar
- Proficiency in Apache Airflow, Apache Spark, Kubernetes, Docker, Python, SQL, Java, and databases
- Fluency in German and English
Tasks
- Architect data platforms for advanced applications
- Explain architectural choices to stakeholders
- Create sustainable, value-driven solutions
- Empower the team in high-impact projects
- Operationalize machine learning prototypes into production-ready systems
- Implement principles of transparency, reproducibility, and measurability
- Design optimal solutions on AWS, Azure, and GCP
- Shape data platform services and drive service development
- Engage in pre-sales and proposal development
- Educate clients on data possibilities
- Monitor and anticipate data and platform trends
- Provide thought leadership through training and mentorship
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Apache Airflow
- Apache Spark
- Kubernetes
- Docker
- Python
- SQL
- Java
Benefits
Flexible Working
- Flexible working hours
- Remote work options
Bonuses & Incentives
- Profit share scheme
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
Startup Environment
- Innovation-driven culture
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Lead Data Architect(m/w/x)
Architecting data platforms for advanced applications, operationalizing ML prototypes into production systems for a global tech strategy partner. In-depth data engineering and machine learning knowledge required. Profit share scheme.
Requirements
- Passion for sustainable software architecture
- In-depth knowledge in data engineering and machine learning
- Strong communication skills
- Architectural decisions guided by non-functional requirements
- Awareness of architectural choices impact on implementation
- Completed university degree in Computer Science, Mathematics, or similar
- Proficiency in Apache Airflow, Apache Spark, Kubernetes, Docker, Python, SQL, Java, and databases
- Fluency in German and English
Tasks
- Architect data platforms for advanced applications
- Explain architectural choices to stakeholders
- Create sustainable, value-driven solutions
- Empower the team in high-impact projects
- Operationalize machine learning prototypes into production-ready systems
- Implement principles of transparency, reproducibility, and measurability
- Design optimal solutions on AWS, Azure, and GCP
- Shape data platform services and drive service development
- Engage in pre-sales and proposal development
- Educate clients on data possibilities
- Monitor and anticipate data and platform trends
- Provide thought leadership through training and mentorship
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Apache Airflow
- Apache Spark
- Kubernetes
- Docker
- Python
- SQL
- Java
Benefits
Flexible Working
- Flexible working hours
- Remote work options
Bonuses & Incentives
- Profit share scheme
Informal Culture
- Global and diverse community
Learning & Development
- Commitment to development
Startup Environment
- Innovation-driven culture
About the Company
Zühlke Engineering AG
Industry
IT
Description
The company is a global transformation partner specializing in tech strategy, business innovation, and digital solutions.
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