TL;DR

Lead Data Platform Engineer (AI): Shaping the next generation of data and AI platform architecture for near-real-time ingestion, enrichment, and model-driven product features with an accent on modern governance, data quality, lineage, and cost visibility. Focus on translating AI Engineering requirements into clear specifications and scalable platform capabilities, consolidating fragmented tooling, and ensuring infrastructure stability for %hirify_global%'s AI ambitions.

Location: Remote in Germany, Ireland, Netherlands, Portugal, Spain, or the United Kingdom

Company

%hirify_global% is a refreshingly different form builder helping over 150,000 businesses collect the data they need with forms, surveys, and quizzes.

What you will do

Serve as the technical authority for data platform and tracking architecture, guiding design decisions and engineering best practices.
Design a next-generation data & AI platform that supports near-real-time ingestion, enrichment, and model-driven product features.
Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility.
Take full ownership of the AI Infrastructure components, ensuring reliability, scale, and clear fallback strategies.
Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.
Mentor Data Engineers on modern Data Platform concepts.

Requirements

Several years of experience as a software engineer or platform engineer working with large-scale data systems, streaming architectures, or data/AI platforms.
Proven experience designing and delivering data platforms, including real-time ingestion, enrichment, data warehousing, and lake/lakehouse architectures.
Expertise with streaming technologies (Kafka or similar), reverse-ETL, and modern big-data tooling.
Hands-on experience with platform components such as Terraform, Terragrunt, CI/CD pipelines, Python, SQL, and cloud-native infrastructure.
Experience partnering with Data Science, AI Engineering, and cross-functional teams to translate requirements into scalable platform capabilities.
Strong communicator with the ability to influence stakeholders and document architecture clearly.

Nice to have

Experience building data, ML, or AI platforms in a B2B SaaS or product-led environment.
Familiarity with cost-optimizing cloud data workloads and data governance frameworks.
Exposure to AI/ML observability, vector databases, model gateways, or modern AI infra architectures.
Experience with event-driven systems and data contracts.

Culture & Benefits

%hirify_global% is fully remote by design.
Empowering collective efforts by valuing each individual’s unique perspective.
Fostering strong bonds grounded in respect, transparency, and trust.
Champion diverse customer base by anticipating their needs and addressing their challenges with priority.
Committed to excellence, holding high expectations for ourselves and each other, continuously striving to deliver exceptional results.
We are proud to be an equal-opportunity employer.

Expert Data Platform Engineer (AI)