Technology
Data Analytics Architect (f/m/d)
Woodmark Consulting GmbH
Personio
- Location
- Germany; Grasbrunn (München); Bundesweit; Düsseldorf; Berlin, Germany
- Type
- permanent
- Salary
- Salary not specified
- Posted
- 27 Aug 2024
We make the world better with data The Woodmark Group is a leading consulting organization specializing in AI, data, and analytics. We inspire people through our passion for data and innovation while supporting organizations on their digital transformation journey. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. Your diverse range of responsibilities DevOps is practiced throughout the organization : As part of a DevOps team, you’ll be responsible for defining data modeling and structuring data-holding systems, and in collaboration with the platform architect you’ll ensure that data architecture requirements are met. Visualizing Requirements : Based on information from the business units, you design analytical data models to integrate and historicize data sets, ensuring they are flexible and scalable in terms of both technical infrastructure and content. Developing Data Products : Based on your specifications, data engineers transform this data on the analytics platform into valuable data products, which are then used, for example, in dashboards or data science models. What you bring to the role
We make the world better with data The Woodmark Group is a leading consulting organization specializing in AI, data, and analytics. We inspire people through our passion for data and innovation while supporting organizations on their digital transformation journey. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. Your diverse range of responsibilities DevOps is practiced throughout the organization : As part of a DevOps team, you’ll be responsible for defining data modeling and structuring data-holding systems, and in collaboration with the platform architect you’ll ensure that data architecture requirements are met. Visualizing Requirements : Based on information from the business units, you design analytical data models to integrate and historicize data sets, ensuring they are flexible and scalable in terms of both technical infrastructure and content. Developing Data Products : Based on your specifications, data engineers transform this data on the analytics platform into valuable data products, which are then used, for example, in dashboards or data science models. What you bring to the role At least 5 years of experience in the database field, an excellent understanding of data, and in-depth knowledge of analytical architectures for data-storage systems Excellent knowledge of various data modeling paradigms, including Data Vault 2.0, 3NF, and star schema Excellent knowledge of various analytics architectures, including Inmon, Kimball, Data Lake, Data Lakehouse, and Lambda Solid knowledge of cloud-based data processing, particularly with AWS, Databricks, Snowflake, Microsoft Fabric, or dbt In-depth knowledge of SQL and Python Knowledge of Change Data Capture, data lineage, data catalog, data mesh, and metadata management Excellent understanding of data, enabling you to analyze and scrutinize data sets and integrate their content into the context of larger, comprehensive data sets. What you bring to the table Expertise is a given : You have several years of experience working with data systems and mapping business logic independently creating concepts and development guidelines piloting, designing, and building integrated data sets A stakeholder-oriented mindset helps us move forward : You have experience working with stakeholders at various levels. Support the “Making of a Star” : You enjoy supporting other Woodmarkers with your experience, because we love diversity and you make a difference. Excellent German and English skills : You’re comfortable with the German language and English documentation, and you can keep up when English is spoken during project work.