Cara Care empowers every individual with digestive issues to enjoy a healthier and happier life.
Senior Data Architect, m/f/x
Location
Germany
Posted
27 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Architect, m/f/x
Cara Care
• 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.
Job Requirements
- 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
- Your Profile
- 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, Phyton, 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.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Architect and own the governed Snowflake layer • Define connection standards for AI agents and applications • Encode PII scrubbing and compliance as code • Document the warehouse • Modernize the analytics codebase • Support the Tableau and Mixpanel layers • Set technical direction and raise the bar
• Develop and evolve data pipelines in Azure, GCP and Databricks environments, ensuring efficiency, performance and reliability; • Design solutions for large-scale data ingestion, transformation and provisioning; • Integrate data from multiple sources and systems, including Firebase; • Use Terraform for provisioning and standardizing infrastructure as code; • Identify opportunities to improve data architecture, proposing scalable and sustainable solutions; • Proactively troubleshoot issues and maintain platform stability; • Participate in technical definitions, contributing best practices and knowledge sharing; • Collaborate with multidisciplinary teams to ensure technical and business alignment; • Support initiatives to modernize and consolidate data in cloud environments.
• Desenvolver e manter pipelines de dados utilizando AWS Glue e MWAA (Apache Airflow); • Gerenciar catálogo de dados e metadados com AWS Glue Data Catalog; • Realizar consultas e transformações analíticas no Amazon Athena; • Criar e manter dashboards e relatórios no Tableau; • Atuar em squads ágeis, participando de cerimônias Scrum e entregas contínuas.
• Maintain and manage website scraping configurations using Python. • Monitor scraping configurations for errors and potential crashes. • Oversee retrieved data to detect potential issues and blockages. • Coordinate with stakeholders to understand scraping task requirements and report issues. • Prepare and share periodic reports on scraping activities with stakeholders. • Develop necessary pipelines to ingest data into the Datalake and perform required transformations.



