TL;DR

Lead Data Platform Engineer (AI): Shaping the next generation of %hirify_global%'s data and AI platform architecture, introducing modern governance, and taking ownership of the mission-critical components that power their AI strategy with an accent on real-time ingestion, enrichment, and model-driven product features. Focus on translating product and AI requirements into platform capabilities and ensuring the infrastructure is stable, observable, and cost-efficient.

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

Company

%hirify_global% is a form builder that helps over 150,000 businesses collect data with forms, surveys, and quizzes.

What you will do

Serve as the technical authority for data platform and tracking architecture.
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, including data quality, lineage, ownership, observability, and cost visibility.
Take full ownership of the AI Infrastructure components currently run by AI Engineering.
Mentor Data Engineers on modern Data Platform concepts.
Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.

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.
Move as one team, empowering collective efforts by valuing each individual’s unique perspective.
Foster strong bonds grounded in respect, transparency, and trust.
Champion diverse customer base by anticipating their needs and addressing their challenges with priority.
Hold high expectations for ourselves and each other, continuously striving to deliver exceptional results.

Expert Data Platform Engineer (AI)