Senior Data Architect

Role Description

We’re looking for a Senior Data Architect to join us immediately and help shape the backbone of our data-driven future. If you love designing scalable data systems, making architectural decisions that matter, and turning complex data ecosystems into clean, reliable platforms - this is your role.

You’ll own the evolution of our data architecture end-to-end and play a key role in turning data into a real strategic asset across the company. You’ll work closely with Product, Engineering, and Leadership, and your decisions will directly shape how data is stored, accessed, trusted, and used.

Your Mission

• Own the design and evolution of our end-to-end data architecture, ensuring scalability, reliability, and long-term maintainability.
• Define and implement data modeling standards, including domain models, schemas, and data contracts across the organization.
• Architect and optimize modern data pipelines (batch and real-time), ensuring robust and high-quality data flow across systems.
• Build and evolve our core data platform (warehouse/lakehouse), balancing performance, cost, scalability, and simplicity.
• Establish strong data quality, observability, and governance practices to ensure trusted and consistent data across the company.
• Translate complex business requirements into scalable and well-structured data architectures.
• Collaborate closely with Product, Engineering, and Leadership to align data architecture with product and business strategy.
• Enable self-serve analytics by designing clean, well-structured datasets and semantic layers.
• Leverage automation and AI where it meaningfully improves data engineering efficiency, reliability, or insight generation.
• Continuously evaluate and introduce modern data technologies, patterns, and best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Several years of experience as a Data Engineer, Data Architect, or similar role, ideally in fast-paced or high-growth environments (experience in regulated environments/healthcare would be a plus).
• Strong expertise in SQL, Python, and modern Cloud Data Warehouses (BigQuery, Snowflake, Postgres …) as well as modern data architectures.
• Proven experience in data modelling and managing data-intensive systems (Star/Snowflake, ideally data build tool experience).
• Hands-on experience with data visualization tools (e.g., Power BI, Metabase, Looker).
• Strong understanding of data modeling, data quality, and data governance principles.
• Experience with cloud platforms (AWS, Azure, or Google Cloud).
• Experience with integrating AI Tools in the Daily Workflow (Claude Code, Cursor, Copilot).
• Strong analytical mindset with excellent problem-solving skills.
• Excellent communication and collaboration abilities across technical and non-technical teams.
• Fluent in English; German is a strong plus.

Benefits

• Fair compensation: You receive fair pay, regular salary payments, and of course the technology you need to do your job really well.
• Great team: You’ll join a lively, interdisciplinary team and a friendly, supportive working atmosphere – including regular on-site team events.
• ‍ Remote-first: Want to work from home? No problem. Prefer coming to the office in Berlin? Also great. We are remote-first – you work wherever suits you best.
• ️ 30 days off: Rest is important. With us you get 30 days off per year: 26 vacation days plus 4 extra mental health days for breaks when you need them.
• Flexible working hours: Whether you like to start early or prefer a later start – you shape your day in a way that works for you.
• You make a difference: With us, you’re not just part of it – you’re at the center of it. Your ideas matter, and you can truly make an impact.