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Zühlke Engineering AG
6mo ago

Lead Data Architect(m/w/x)

Schlieren
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Description

As a Lead Data Architect, you will design and implement advanced data platforms, operationalize machine learning solutions, and guide a team in creating impactful architectures. This role involves educating clients, shaping service offerings, and staying ahead of market trends.

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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

Education

Bachelor's degree

Work Experience

approx. 4 - 6 years

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

Tools & Technologies

Apache AirflowApache SparkKubernetesDockerPythonSQLJava

Languages

German – Business Fluent

English – Business Fluent

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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