Data Architecture
- Design implement and manage OESLs data architecture to ensure secure scalable and highperformance data processing for data analytics usecases.
- Shape OESLs data architecture strategy striking the perfect balance between cost flexibility performance and innovation.
- Lead the evaluation selection and seamless integration of cuttingedge data warehousing technologies tools and services.
Implementation and Optimization
- Deploy and manage data integrations across systems based on industry best practices to ensure performance and availability targets are met.
- Continuously enhance data processing chains by optimizing performance reducing costs and strengthening security measures.
Governance and Compliance
- Ensure data architectures adhere to regulatory requirements and security standards such as ISO and GDPR.
- Develop and enforce governance frameworks for relevant resources emphasizing data privacy access control and compliance.
Collaboration and Stakeholder Engagement
- Partner with crossfunctional technical leaders to align data strategies with business objectives.
- Collaborate with DevOps Security and Infrastructure teams to drive seamless adoption and integration of cloud services across OESL.
- Maintain strong relationships with external service providers staying ahead of emerging trends and technologies.
Hiring can take place at different OESL IT Locations
Qualifications :
Were seeking a skilled Data Architect to lead the implementation of OESLs data strategy. Key skills and expertise include:
- Data Driven Applications: Experience with design setup and operation of data integration workflows and ETL processes across multiple systems (e.g. ERPCRM IoT Data Sources)
- Data Platforms: Experience with usage and optimization of business warehouses. Preferably based on SAP BW or Databricks.
- Cloud Platforms: Experience with AWS or Azure and designing scalable secure data driven applications using cloud technology.
- Data Governance & Security: Familiarity with central regulations (e.g. GDPR) and common data governance approaches.
- Cost Optimization: Ability to manage platform related budgets and optimize resource use effectively.
- Agile and DevOps: Knowledge of collaborative workflows and modern deployment practices.
- Project Management: Experience in leading projects for data driven applications from design to implementation and steering of external suppliers.
Applications from severely handicapped people are welcome.
Additional Information :
The wellbeing of our employees is important to us. Thats why we offer exciting career prospects and support you in achieving a good worklife balance with additional benefits such as:
- Training opportunities
- Mobile and flexible working models
- Sabbaticals
- and much more...
Sounds interesting for you Click here to find out more.
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Ready to drive with Continental Take the first step and fill in the online application.
Remote Work :
No
Employment Type :
Fulltime