Join us!
We are looking for a
Data & Platform Architect (m/f/d) to strengthen our team.
At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. This platform will power semantic data access, BI, APIs, and agentic product experiences.
Our platform is initially centered on
PostgreSQL-backed structured data and will evolve toward support for
unstructured data and more
lakehouse-style capabilities on AWS. We work hands-on across
Python-based platform services, data pipelines, SQL/PostgreSQL-based data architecture, and AWS-based integrations, while collaborating closely with
Java-based product systems.
We work according to the principle
“You build it, you run it”: platform capabilities are owned end-to-end, from design and implementation to operational responsibility in production. We also follow
spec-driven development and actively use
AI-assisted engineering tools such as Claude Code, Cursor, and similar tools.
This is a
hands-on architect role with a strong engineering focus. We expect roughly
70% hands-on engineering work and
30% architectural guidance, design reviews, and technical alignment.
What can you expect?
Data Platform & Architecture Ownership- Own and evolve the shared data platform foundation, including data models, pipelines, storage patterns, and access layers
- Design scalable architectures that enable reliable and reusable data usage across the company
- Define clear integration boundaries and platform patterns
Data Modeling & Semantic Foundations- Define canonical data models, reusable business entities, and semantic structures
- Ensure data models preserve business meaning and support BI, API, and AI use cases
- Establish consistent access patterns for downstream consumption
Implementation & Engineering Contribution- Actively contribute to hands-on implementation, not just architecture
- Build platform components, work on complex engineering tasks, and pair with engineers
- Turn platform concepts into production-ready systems
Integration, Contracts & Platform Standards- Define and enforce data contracts, schema standards, and integration patterns
- Collaborate closely with solution teams to build stable, reusable interfaces
- Ensure consistency across domain systems and the central platform
Architecture, Delivery & Platform Evolution- Drive architecture decisions across data, platform, and integration topics
- Balance long-term maintainability with pragmatic delivery needs
- Guide the evolution from a PostgreSQL-based setup toward lakehouse-style and unstructured data capabilities
- Help shape future API access patterns and data product strategies
Operations & Engineering Excellence- Support production readiness through design and code reviews, monitoring, and troubleshooting
- Continuously improve reliability, maintainability, and operational robustness
- Explore and apply spec-driven development and AI-assisted engineering workflows
- Help establish modern engineering practices that improve quality, speed, and team effectiveness
What should you bring along?
Experience & Domain Focus- Several years of experience designing and operating data platforms in production
- Strong expertise in data architecture, modeling, domain-oriented design, and semantic structures
- Experience defining canonical models, reusable business entities, metrics, and semantic layers for analytics, APIs, and AI use cases
- Experience working in multi-team SaaS environments and complex system landscapes
Technical / Methodological Skills- Strong hands-on engineering skills with Python and SQL, and deep knowledge of PostgreSQL (schema design, performance, production modeling)
- Experience designing data pipelines, integration layers, access patterns, and data contracts across systems
- Solid experience with AWS (compute, storage, networking, security, monitoring)
- Strong understanding of event-driven architectures (e.g. EventBridge), as well as CI/CD, infrastructure as code, and deployment automation
- Experience with data quality, lineage, and observability
Nice to have:- Experience with lakehouse architectures and analytical data platforms
- Experience with unstructured or hybrid data architectures
- Experience with dbt, orchestration tools, and modern ELT/ETL practices
- Experience with Terraform or AWS CDK
- Experience with REST/GraphQL APIs, service boundaries, and multi-tenant platform design
Ways of Working & Mindset- Strong ownership mindset with the ability to both design and build systems hands-on
- Focus on clean, maintainable, and well-tested engineering practices
- Comfortable working in evolving, ambiguous environments, evaluating tools and defining standards
- Confident in reviewing designs and code and improving long-term system quality
- Comfortable with spec-driven development, schema evolution, and AI-assisted workflows
- Willing to contribute across layers to enable end-to-end outcomes
Communication & Collaboration- Clear, pragmatic communicator who can challenge assumptions constructively
- Strong collaboration with product, domain, and engineering teams, including Java-based environments
- Ability to define clean integration boundaries and interfaces
- Fluent in English, comfortable working in international teams
What do we offer?
Purpose & Impact
A role with real meaning that is both enjoyable and impactful
The opportunity to make a sustainable contribution through your work
Attractive compensation as part of a growing company
Attractive Benefits
Modern Work Environment & Flexibility
Great Team
A professional, welcoming, and highly motivated team
Collaboration at eye level with an open feedback culture
An environment where people support each other and grow together
Flat Hierarchies & Ownership
Short decision-making paths and real opportunities to shape things
Freedom to contribute and implement your own ideas
A high level of ownership and responsibility