Competitive salary aligned with senior-level respo...
Hybrid
8-12 years complex software product experience
Ai/ml genai integration into customer-facing software
Modernize legacy data estates with lakehouse patterns
This role owns the architecture that turns the data estate into an AI-ready product platform making features reliable, governable, secure, and scalable in production
Job Summary
This role owns the architecture that turns the data estate into an AI-ready product platform making features reliable, governable, secure, and scalable in production.
You will lead the modernization of the product data estate including schemas, pipelines, contracts, and governance to support rapid AI/ML and GenAI capability delivery.
The company offers a hybrid working model with up to 2 office days per week, a competitive salary, and a daily lunch buffet provided by Wolters Kluwer.
Matching Summary
This role owns the architecture that turns the data estate into an AI-ready product platform making features reliable, governable, secure, and scalable in production.
Salary
Competitive salary aligned with senior-level responsibility; Not specified; 25 vacation days; 50% pension contribution reimbursed; Daily lunch buffet included
Skills & Requirements
Must-have
8-12 years complex software product experience
AI/ML GenAI integration into customer-facing software
Modernize legacy data estates with lakehouse patterns
Design secure AI systems with threat modeling
Operationalize AI via MLOps and LLMOps practices
Define reference architecture for ingestion to serving
Nice-to-have
Experience with lakehouse/data mesh transformations at scale
Implementing strong governance and catalog patterns
Influence engineering leadership through mentorship
Pragmatic communication of complex tradeoffs
Key Requirements
8-12+ years building complex SaaS/distributed systems
Proven experience shipping AI/ML to production
Hands-on experience modernizing data estates
Strong understanding of modern data architecture concepts