Enterprise Data Architect - (m/f/x)
Wien, Austria
REWE International Dienstleistungsgesellschaft m.b.H
Seit über 50 Jahren auf Erfolgskurs: Die REWE International AG versorgt Kundinnen und Kunden in Österreich und zehn weiteren europäischen Märkten mit Top-Qualität. Machen Sie sich selbst Ihr Bild.View all jobs at REWE International Dienstleistungsgesellschaft m.b.H
Company Description
In the IT of the REWE Group Austria, we work together with our more than 600 employees to develop innovative IT products and services for all our corporate divisions in Austria and abroad, setting the tone for modern trade.
In the role of data architect, you are responsible for designing, creating, and managing REWE Group Austria’s data architecture. This role is critical in establishing a solid foundation for data management, ensuring that data is organized, accessible, secure, and aligned with business objectives.
Job Description
- You are responsible for the development of data strategies (incl. governance) and the further development of data management
- You interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
- You define and manage standards, guidelines, and processes to ensure data quality and governance
- You manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
- You simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
- You lead and participates in the peer review and quality assurance of project architectural artifacts across the Enterprise Architecture
- You are ensuring technology solutions are in alignment with data architecture principles and target state
- You evaluate and recommend emerging technologies and roles for data management, storage and analytics
Qualifications
- Proficiency in the design and implementation of modern data architectures and concepts such as data-mesh, cloud services (Azure, GCP), real-time data distribution (Kafka), and modern data warehouse tools (Snowflake)
- Experience with database technologies such as SQL, NoSQL, Oracle
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
- Ability to assess traditional and modern data architecture components based on business needs
- Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
- Ability to regularly learn and adopt new technology, especially in the ML/AI realm
- Strong analytical and problem-solving skills
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
- Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
- You can express yourself well in German and English, both orally and in writing.
Additional Information
- Long-term, interesting and varied work for a reliable employer in a supportive team
- A family-friendly company culture with flexible working hours and remote working options available according to your individual needs
- Numerous training and further development opportunities within the Group (5% of working time for self-organized training and education)
- Staff shopping and travel discounts
- Easy public access
- An industry-standard, attractive andperformance-basedd annual gross salary starting at 64,000 Euro (on a full-time basis) with the possibility of higher pay according to experience and qualifications
No matter where you are in your career, we have a path for you. Whether you’re looking for your first job, advancement in your field, or a new career shift. We’re proud to employ great people who are passionate about their jobs. But they’re all different. No matter who you are, what you need and where you’re going, REWE Group can be a part of it. Apply now!
Please upload your resume to give us insight of your work experience - anonymously if you like!
We promote a diverse and inclusive work environment. Therefore, we welcome applications from people of different gender, age, cultural or social background, sexual identity and applications from people with disabilities. In addition, we would like to increase the proportion of women in technical professions and are particularly pleased to receive applications from women for this position.
Tags: Architecture Azure Business Intelligence Data management Data quality Data warehouse ETL GCP Kafka Machine Learning NoSQL Oracle Power BI Snowflake SQL Tableau
Perks/benefits: Career development Flex hours
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.