Cara Care

Cara Care

Cara Care provides a digital platform designed to support individuals with chronic gastrointestinal issues by offering personalized care and actionable plans to improve gut health and overall well-being.

Health Care Providers & Services
51-250
Founded 2016
$16M raised

Description

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

Requirements

  • 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 in a similar role.
  • Experience in fast-paced or high-growth environments is preferred.
  • Experience in regulated environments or healthcare is a plus.
  • Strong expertise in SQL, Python, and modern cloud data warehouses such as BigQuery, Snowflake, or Postgres.
  • Proven experience in data modeling and managing data-intensive systems, ideally with star or snowflake schemas.
  • Experience with dbt (data build tool) is ideally expected.
  • Hands-on experience with data visualization tools such as Power BI, Metabase, or Looker.
  • Strong understanding of data modeling, data quality, and data governance principles.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience integrating AI tools into daily workflows, such as Claude Code, Cursor, or Copilot.
  • Strong analytical mindset with excellent problem-solving skills.
  • Excellent communication and collaboration skills across technical and non-technical teams.
  • Fluent in English; German is a strong plus.

Benefits

  • Fair compensation with regular salary payments and the technology needed to do the job well.
  • Remote-first working model with the option to work from home or from the Berlin office.
  • 30 days off per year, including 26 vacation days and 4 extra mental health days.
  • Flexible working hours.
  • A lively, interdisciplinary, and supportive team environment with regular on-site team events.
  • An opportunity to make a direct impact and contribute ideas at the center of the company’s work.

Interested in this position?

Apply directly on the company website

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