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Staff Data Platform Engineer

2 hours, 19 minutes ago
United Kingdom, Germany, Ireland, Netherlands, Portugal, Spain
Lead
Data Engineer
Software Development
CI/CD GitOps HubSpot Kafka Machine Learning Microservices OpenTelemetry Python SQL Terraform
Apply Now
Typeform

Typeform

Typeform is a user-friendly platform for creating interactive forms and surveys with no coding required. It offers templates for quizzes, feedback, lead generation, and more, ensuring a positive user experience on any device.

Internet Software & Services
251-1K
Founded 2012
$187M raised
View All Jobs 8

Description

  • Serve as the technical authority for data platform and tracking architecture, guiding design decisions, tool selection, and engineering best practices.
  • Design a next-generation data and AI platform that supports near-real-time ingestion, enrichment, and model-driven product features.
  • Translate AI Engineering requirements into clear specifications and capability roadmaps using spec-driven development.
  • Define and implement modern data governance across data quality, lineage, ownership, observability, and cost visibility.
  • Evaluate, consolidate, or replace redundant technologies and introduce scalable SaaS solutions where appropriate.
  • Own and extend core AI platform components such as Arize AI, LLM Gateway, Pinecone, model access APIs, and the OTEL collector.
  • Take ownership of AI infrastructure components currently run by AI Engineering, ensuring reliability, scale, and fallback strategies.
  • Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements.
  • Mentor Data Engineers and influence engineers across teams through architecture guidance, documentation, and hands-on implementation.
  • Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to align on infrastructure strategy and AI-ready data delivery.

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 such as Kafka or similar, reverse-ETL, and modern big-data tooling.
  • Hands-on experience with 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 communication skills with the ability to influence stakeholders and document architecture clearly.
  • Experience mentoring, coaching, or technically leading engineers without direct reporting lines.
  • Experience building data, ML, or AI platforms in a B2B SaaS or product-led environment (preferred).
  • Familiarity with cost-optimizing cloud data workloads and data governance frameworks (preferred).
  • Exposure to AI/ML observability, vector databases, model gateways, or modern AI infrastructure architectures (preferred).

Benefits

  • Fully remote work environment.
  • Candidates can be hired in the UK, Ireland, Germany, Spain, Portugal, or the Netherlands.
  • Opportunity to work on a mission-critical AI and data platform at a company serving 150,000+ businesses.
  • Equal-opportunity employer committed to diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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