Senior Data & AI Platform Engineer: Scale Snowflake & AI Foundations

velux

Hørsholm

On-site

DKK 673,000 - 972,000

Full time

3 days ago
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Job summary

VELUX is seeking a Senior Data & AI Platform Engineer to design, build and operate the core Data & AI platform landscape. You will collaborate with Data Engineers, AI Solutions Partners and Data Scientists to enable teams to develop data products and AI solutions securely and at scale.

You will own Snowflake and dbt platforms, drive reliability, security and cost efficiency, and promote best practices, CI/CD and data contracts.

Qualifications

  • 5+ years of experience designing, building and operating production‑grade data platforms.
  • Deep expertise in Snowflake and dbt.
  • Strong Python, SQL skills; IaC and CI/CD experience.
  • Experience with modern AI and LLM infrastructure (model gateways, retrieval systems, agent frameworks).
  • Understanding of data mesh, semantic modelling and data contracts.

Responsibilities

  • Build, operate and evolve the Data & AI platform landscape (Snowflake/dbt) enabling teams to develop data products and AI apps.
  • Design core platform capabilities, governance, observability, security, access management and developer experience.
  • Define platform architecture and engineering standards across the Data & AI domain.
  • Drive reliability, scalability and cost optimisation across Data/AI workloads (FinOps and governance).
  • Coach and mentor Data Engineers and partners on reusable building blocks and patterns.

Skills

Snowflake
dbt
Python
SQL
Infrastructure as Code
CI/CD
AI/LLM infra
Data mesh
Semantic modelling
Data contracts
Mentoring engineers

Job description

VELUX is seeking a Senior Data & AI Platform Engineer to design, build and operate the core Data & AI platform landscape. You will collaborate with Data Engineers, AI Solutions Partners and Data Scientists to enable teams to develop data products and AI solutions securely and at scale.

You will own Snowflake and dbt platforms, drive reliability, security and cost efficiency, and promote best practices, CI/CD and data contracts.

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