Data Architect

• Architect the Hybrid Cloud: Design and evolve our data architecture, bridging our existing Azure Data Lake (ADLSv2) and Synapse environment with Google BigQuery to create a unified source of truth.
• Orchestrate Data Flows: Build and maintain high-performance Data Pipelines using Synapse Pipelines, ensuring seamless data movement between various business systems and our cloud warehouses.
• Master Transformations: Lead the logic for data transformation layers, turning raw operational data into high-value "Gold" tables for business consumption.
• Drive Data Consumption: Collaborate with BI and product teams to ensure data is easily consumable, optimized for performance, and ready for advanced analytics.
• Governance & Scalability: Establish best practices for data modeling, security, and cost-management across both Azure and GCP environments.
• Leading our scaling efforts: by collaborating with and guiding external delivery teams.

• Cloud Architecture Expert: Extensive experience in Azure Data Lake and Synapse Analytics. BigQuery Native: Hands-on experience with Google BigQuery (modeling, slot management, and optimization) is essential.
• Pipeline Pro: Strong proficiency in Azure Synapse Pipelines.
• Technical Stack: Advanced SQL skills and experience with transformation tools
• Strategic Thinker: Ability to design "big picture" architecture while remaining hands-on with data modeling and troubleshooting.
• Azure Track Record: Proven experience in designing and maintaining production-grade data platforms on Azure (Synapse, Data Lake, Data Factory). You have seen what works and what doesn't at scale.
• Strategic Experience: You have successfully led technical initiatives or designed data models (e.g., Data Vault, Star Schema/Kimball) that served multiple business domains.
• Partner Collaboration: Experience in collaborating with or steering external implementation partners/agencies is a strong plus. You know how to translate business requirements into technical tickets for external teams.
• Education: degree (BSc/MSc) in Computer Science, Information Systems, Mathematics, or a comparable field--or equivalent professional training with a proven track record.
• Seniority: 5+ years of experience in Data Engineering or BI development, with at least 2-3 years focused on Data Architecture or Technical Leadership.
• Communication: Very good English skills (written and spoken).
• Legal: A valid work permit for Austria.

Our sustainable and lightweight bikes have won awards and created a loyal customer base all over the world! We are an international, multicultural team with more than 15 nationalities. With over 170 employees it can be difficult to maintain the startup atmosphere, so we place a lot of emphasis on a friendly working atmosphere and extensive onboarding.