Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop scalable and secure data architectures, design data-driven solutions, and optimize existing systems to support informed decision-making within the organization.
Job Technologies
Your role in the team
- In this role, you will develop, shape, and manage our data landscape, ensuring scalability, security, and efficiency.
- At the same time, you enable data-driven business decisions and drive the company's digital transformation forward.
- Advising departments and stakeholders on data-driven opportunities and solutions to support informed decision-making, digitalization, and business growth.
- Designing comprehensive data solutions for business use cases - from data ingestion and transformation to reusable data products.
- Close collaboration with subject matter experts and IT teams to translate requirements into scalable, secure, and sustainable data architectures.
- Further development and optimization of existing data solutions to increase efficiency, scalability, and business value.
- Ensuring alignment with enterprise architecture standards, data governance standards, and data mesh principles.
- Promotion of reusability through the development of shared data products, standardized data models, and integration patterns.
- Collaboration with Data Engineers, Data Owners, and Data Stewards to ensure data quality, compliance, and discoverability through effective metadata management and comprehensive documentation.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Business Informatics, Data Science, or a comparable degree program.
Qualifications
- Strong ability to understand technical challenges and translate them into scalable data solutions that enable data-driven decision-making.
- Solid knowledge of data modeling, database design, data governance, metadata management, and data product concepts.
- Very good knowledge of SQL as well as at least one modern language or framework for data processing (e.g., Python, Java, Scala, or Spark).
- Strong stakeholder management skills as well as very good English language skills with the ability to work effectively with technical and IT teams.
Experience
- At least 7 years of professional experience in the fields of data architecture, data engineering, analytics, or a comparable role.
- Experience in designing and implementing end-to-end data architectures - from data integration and transformation to data products and their utilization.
- Experience with modern cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, or GCP.
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What we offer
- Flexible working hours: Our flexible working hours allow you to adapt your working time to your personal needs.
- Special payments: In addition to a market-competitive salary, we offer attractive special payments such as a corporate success bonus or other performance-based salary components.
- Occupational health management: Our occupational health management includes, among other things, the E-Gym Wellpass, which provides you access to a variety of fitness and health services, as well as a company pension scheme to help you prepare for your future.
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Benefits
Higher Take-Home Pay
- 🏝️Summer and Christmas Bonus
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 💻Company Notebook for Private Use
- 👴🏻Company Retirement Provision
Food & Drink
Work-Life-Integration
- 🚌Excellent Traffic Connections
- 🏝Extra Holidays
- 🏠Home Office
- 🍼Day Care for Kids
- ⏸Educational Leave/Sabbatical
- 🅿️Employee Parking Space
- ⏰Flexible Working Hours
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
TÜV Süd AG
Our passion for technology and safety is unbroken since 1866. Every day we set ourselves for the safety of people and society and create confidence in new, innovative technologies.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Culture
3.7Workingconditions
2.8Engineering
3.0Career Growth
3.3
Data Architect
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
