Senior Platform Engineer at Rootly building infrastructure for incident management and enhancing system reliability. Collaborate with product teams to drive performance and scalability of services in a high - impact environment.
About the role
- Lead Data Platform Engineer shaping the technical direction for the data platform at AI-enabled fintech startup. Building infrastructure for user-facing and AI-backed products in healthcare.
Responsibilities
- Design data model evolution processes including schema versioning, breaking change management, and impact communication
- Implement data catalog solutions and documentation practices that make metadata and lineage first-class concerns, not afterthoughts to support the data governance and security best practices in a regulated industry
- Shape the technical direction of our newly-formed data platform team, from tool selection to API patterns to data governance approaches
- Architect and build backend services in NodeJS/Python that enable teams to access and work with data confidently and in a reliable manner in order to build user-facing and AI-backed products
- Bridge backend engineering and data infrastructure, translating team needs into platform capabilities with developer experience in mind, that are scalable and unlock product innovation.
Requirements
- 2+ years data platform engineering experience and 6+ years of overall experience in the industry.
- Strong software engineering experience in Python with production REST API and data pipeline experience
- Deep passion for documentation and knowledge sharing - you've championed documentation-first practices and believe undocumented data is nearly useless
- Data catalog experience to set up a documentation basis on top the basis of Database Schemas (Postgres), OpenAPI schemas and language-agnostic IDLs
- Proven ability to influence engineering culture and spread best practices across teams without formal authority
- Experience with data model evolution including versioning strategies, migration processes, as well as data modeling practices to e.g. support processing of real-time, unstructured data to form structured bi-temporal stable representations
- Experience in enabling AI use cases by making data accessible both in an online manner as well as for offline evaluation
- Plus: AWS experience (big plus) and Dagster familiarity to accelerate onboarding with existing infrastructure
- Plus: experience working in highly regulated environments, with heavy security and compliance requirements
Benefits
- Competitive salary
- Work in a great team of talented and highly motivated people
- Dynamic environment, steep learning curve, and extensive development opportunities
- Part of an exciting FinTech startup in the German healthcare market
- Responsibility, independent work, and high flexibility
- Generous budget for learning and development
- First-class work equipment and flexible working hours
- Deutschlandticket or Swapfiets rental bike
- Urban Sports Club membership
Job title
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Not specified
Degree requirement
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