Senior Data Architect (f/m/x)

Douglas; Düsseldorf; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

The DOUGLAS Group is seeking an experienced Data Architect/Lead Data Engineer to expand our modern cloud data platform in Düsseldorf. You will define robust target pictures for Data Vault, data products, and reporting while translating business requirements into scalable models across layered architectures.

You will implement governance, data quality and security concepts, working with data engineers and platform teams to codify guidelines for dbt, Snowflake and CI/CD, ensuring measurable impact

Qualificações

• Multiple years of experience as a Data Architect, Lead Data Engineer or comparable role in a modern cloud and data warehouse environment.
• Strong understanding of modern data architectures, especially Snowflake, dbt, orchestration and data products.
• Solid experience in Data Vault and Kimball data modeling.
• Experience building scalable platform architectures with clear layers, governance and ownership.
• Excellent SQL skills and solid knowledge of data integration, automation and orchestration (Python, Prefect).
• Familiarity with governance, data quality, testing, observability and security concepts (RBAC, data masking, anonymization).
• Proficiency with versioned development (Git, PRs, code reviews) and CI/CD processes.
• Strong communication skills to align business and technical stakeholders on architecture principles.
• Very good German and English, both written and spoken.

Responsabilidades

• Further develop the data architecture of our central Data Platform and define robust target pictures for Data Vault, data products, business marts and reporting.
• Translate business requirements into sustainable data models and architecture decisions along a layered architecture from landing zone through Raw Vault and Business Vault to data products.
• Establish modeling standards and guardrails for Data Vault and Kimball-oriented layers and transition from legacy to target architectures.
• Define domain-oriented data products that are consistent, reusable and technically clean for internal and external use.
• Collaborate with data engineers, analytics engineers and platform teams to turn decisions into actionable guidelines for dbt, Snowflake, Prefect and CI/CD pipelines.
• Drive governance topics such as data quality, test strategies, auditability, security, masking, anonymization and RBAC.
• Set technical standards for documentation, testing, deployment and architecture transparency and ensure day-to-day adoption.

Conhecimentos

Data architecture

Snowflake

dbt

Python

Prefect

SQL

Data Vault

Kimball

Git

CI/CD

German language

English language

Ferramentas

Snowflake

dbt

Prefect

Git

CI/CD

Descrição da oferta de emprego

TASKS WITH IMPACT

• You further develop the data architecture of our central Data Platform and define robust target pictures for Data Vault, data products, business marts and reporting
• Business requirements are translated by you into sustainable data models and architecture decisions along a clear layer architecture, from the landing zone through the Raw Vault and Business Vault to consumable data products
• Modeling standards and methodological guardrails for Data Vault, Kimball-oriented consumption layers and the structured transition from legacy to target architectures are in your hands
• Definition of domain-oriented data products that are consistent, reusable, aligned with the role and access concept, and technically clean for internal and external use
• Together with data engineers, analytics engineers, platform teams and business departments, you turn architecture decisions into actionable guidelines for dbt, Snowflake, Prefect and continuous integration and continuous delivery processes
• Governance topics such as data quality, test strategies, auditability, security, data masking, anonymization and role-based access concepts are actively driven forward by you
• Technical standards for documentation, testing, deployment and architecture transparency are established by you so that they take effect in day-to-day engineering

Your Skills

• Several years of experience as a Data Architect, Lead Data Engineer or in a comparable role in the modern cloud and data warehouse environment
• Very good understanding of modern data architectures, particularly in the interplay of Snowflake, dbt, orchestration and consumption-oriented data products
• Well-founded experience in data modeling using Data Vault and Kimball
• Experience in building or further developing scalable platform architectures with clear layers, responsibilities and governance principles
• Very good knowledge of SQL and a solid technical understanding of data integration, automation and orchestration, ideally with Python and Prefect
• Experience with architecture governance, data quality, test strategies, observability and security concepts such as RBAC, dynamic data masking or anonymization
• Routine in version-based development processes with Git, pull requests, code reviews as well as CI/CD and release processes
• Strong communication skills, conceptual clarity and the ability to align business and technical stakeholders on shared architecture principles
• Very good German and English, spoken and written

What You Can Expect

• Great technical scope for shaping a modern data platform landscape with a clear target architecture.
• An environment in which architecture is not only documented, but consistently implemented in standards, pipelines and data products.
• Close collaboration in an international, cross-functional environment made up of architecture, engineering and business departments.
• A lot of personal responsibility, fast decision-making and the opportunity to further develop the data landscape with visible impact.

DO YOU RECOGNIZE YOURSELF?

As an international employer, we stand for equal opportunities and diversity. We therefore welcome applications from mothers, fathers, people with disabilities and people from the LGBTQIA+ community. Please let us know if, for example, we should use a gender-neutral pronoun, if you need barrier-free access to our offices or if we should allow more time for the application process.

We look forward to hearing from you!

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 1,970 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 2024/25, the DOUGLAS Group generated sales of 4.58 billion euros and employed more than 19,900 people across Europe. The DOUGLAS Group (Douglas AG) is listed at the Frankfurt Stock Exchange.