You will play a crucial role in developing tools to manage the end2end lifecycle of data, metadata and their respective modeling artifacts
Job Summary
You will play a crucial role in developing tools to manage the end2end lifecycle of data, metadata and their respective modeling artifacts.
You will evaluate the latest trends and technologies to continuously provide guidance on architectural decisions to ensure interoperability and system readiness for state-of-the art functionalities such as GenAI and LLMs.
At ZEISS we encourage creative thinking and innovation. We work in dynamic and interdisciplinary teams and offer individual development perspectives and flexibility in organizing your work.
Matching Summary
You will play a crucial role in developing tools to manage the end2end lifecycle of data, metadata and their respective modeling artifacts.
Skills & Requirements
Must-have
end2end data lifecycle management
solution architecture design
automated data modeling
enterprise Data Catalog integration
Python/Java/Scala development
Microsoft Azure cloud technologies
conceptual, logical, physical data models
TOGAF, ArchiMate frameworks
SAP, Salesforce, Adobe Marketo
Azure Blob, Synapsis data storage
Terraform cloud-based artifacts
Agile Software-development Scrum/Kanban
continuous integration/delivery
REST APIs for workflow integration
data governance frameworks
data privacy regulations (GDPR)
Nice-to-have
customer-facing application development
business process expertise
independent, conscientious, solution-oriented
customer-oriented mindset
creative thinking and innovation
interdisciplinary teams
Key Requirements
M.Sc. in computer science or related field
6+ years professional experience
4+ years software development experience
2+ years customer-facing application development
Proficiency in data modeling
Knowledge of Business and Data Architecture frameworks