About the job
Purpose
As a Data Solutions Designer, you will be pivotal in engineering both standard and innovative solutions tailored to meet diverse customer needs. Your role encompasses testing and analyzing configurations to detect any shortcomings, as well as crafting comprehensive migration strategies that outline the essential steps for a seamless transition to new solutions. You will also be responsible for executing and supporting the migration and implementation of these solutions, ensuring the delivery of enhanced functionalities to our clients. Additionally, you will validate and document new releases, pinpointing any issues and facilitating the migration process from previous versions.
About the Team and Project
Join our dynamic Finance & B2B domain within the DATA TRIBE, where we are on a mission to revolutionize the data warehouse landscape within the One Data Ecosystem (ODE). Our current initiative focuses on migrating our data architecture to the Google Cloud Platform (GCP), marking an ambitious and gratifying challenge!
If you thrive in a forward-thinking, agile environment where continuous learning and growth are prioritized, this is the perfect opportunity for you. Bring your enthusiasm, expertise, and determination, and together we will redefine the future of data solutions.
Key Responsibilities
- Analyze Data Infrastructure: Evaluate existing systems and documentation to identify improvement opportunities.
- Design Robust Data Solutions: Create scalable and maintainable architectures that align with business requirements.
- Translate Requirements: Transform business and technical inputs into actionable technical specifications.
- Lead International Collaboration: Engage with global expert teams to deliver comprehensive end-to-end data solutions.
- Plan Migrations: Formulate and implement migration strategies for transitioning to new data architectures on GCP.
- Ensure Quality through Testing: Develop and execute test cases for data pipelines, system integrations, and new solutions.
- Resolve Complex Issues: Investigate data-related challenges, identify root causes, and implement effective solutions.
- Support Presales and Implementation: Offer technical consultation to inform decision-making and solution design.
- Document Thoroughly: Maintain comprehensive technical documentation throughout the project lifecycle.
- Engage Stakeholders: Collaborate with architects, data specialists, production, and operations teams across various domains and regions.
- Communicate Effectively: Utilize proficient German and competent English language skills to foster strong teamwork and communication.
- Apply Technical Expertise: Draw on hands-on experience in data engineering, including ETL processes, data modeling, SQL, Python, UNIX, GIT, and UML.

