Data Warehouse Architect

**COMPANY DESCRIPTION** About the DOUGLAS Group**

The DOUGLAS Group, with its commercial brands DOUGLAS, NOCIBÉ, Parfumdreams and Niche Beauty, is the number one omnichannel premium beauty destination in Europe. The DOUGLAS Group is inspiring customers to live their own kind of beauty by offering a unique assortment online and in around 1,900 stores. With unparalleled size and access to customers, the DOUGLAS Group is the partner of choice for brands and offers a premium range of selective and exclusive brands as well as own corporate brands. The assortment includes fragrances, color cosmetics, skin care, hair care, accessories as well as beauty services. Strengthening its successful omnichannel positioning while consistently developing superior customer experience is at the heart of the DOUGLAS Group strategy “Let it Bloom”. The winning business model is underpinned by the Group’s omnichannel proposition, leading brands, and data capabilities. In the financial year 2023/24, the DOUGLAS Group generated sales of 4.45 billion euros and employed around 19,200 people across Europe. It was named the World’s Top Company for Women in 2025 among all retail and wholesale companies by Forbes. The DOUGLAS Group (Douglas AG) is listed at the Frankfurt Stock Exchange.

For further information please visit the DOUGLAS Group Website.
**TASKS WITH IMPACT**
- Design, manage, and optimize a scalable and cost-efficient data, BI, and ML architecture that meets analytical requirements with the relevant tools (storage, compute, visualization)
- Implement and optimize data models using common DWH methods such as 3NF, Data Vault, Dimensional, or OBT to enable efficient analyses and reporting
- Collaborate closely with business stakeholders, data engineers, and BI consultants to translate requirements into technical solution designs
- Develop and enforce data governance policies (e.g., access controls, data protection) while ensuring compliance with regulatory standards
- Promote and implement best practices for data warehousing, ELT development, and reporting.
- Create and maintain technical documentation on BI architecture, data architecture, data models, and processing procedures
- Continuously align BI architecture with enterprise architecture and operational IT domains

**YOUR SKILLS**
- Strong knowledge of tools and ecosystems in modern data stacks (ETL, storage & compute, reporting & analysis) and architecture frameworks.
- Excellent data modeling skills using typical DWH approaches (e.g., 3NF, Data Vault, Dimensional).
- Proficient in (EL)T development with SQL and dbt.
- Solid experience with cloud-based data platforms (e.g., Snowflake, GCP), including cost and performance optimization strategies.
- Effective communication and visualization skills.
- Familiarity with tools such as Git, Prefect (scheduling), and SLED (data catalog & lineage).

**YOUR BENEFITS**
**Your personal development**: we want you to grow with us. Become part of our mentoring program, use our e-learning platforms and benefit from many other individual development opportunities.

✔️ **Open feedback culture**: half-yearly meetings & performance reviews (#DOUGLASDialogue)

**30 days of vacation** per year

Would you like a hybrid working model? We offer a balance between **mobile working** and office days in a collaborative environment. (approx. 8 days/month)

Cherry on top: You get our **employee discount** both online and in-store. On top of that, you get further discount opportunities thanks to our corporate benefits.

**In-house canteen & bistro**, as well as free drinks

A positive and motivating environment & celebrating successes at regular **company events** such as DOClub, summer party, Women's Day, etc
**DO YOU RECOGNIZE YOURSELF?**
Then become part of our international company and apply, stating your salary expectations and possible starting date.

We look forward to hearing from you

Job Reference: HQ01566