Senior Data Solutions Architect - Real-Time AWS Platform

A.S.Adventure

Hoboken

Remote

EUR 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Company car option
Meal vouchers
Group insurance
Hospitalisation insurance
Additional holidays
Staff discount

Job summary

Yonderland is seeking a Data Solutions Architect to lead the design of our data platform, built on AWS with Snowflake, dbt and Airflow. You will combine architecture ownership with hands-on engineering, delivering scalable data, integration and AI solutions while ensuring security, compliance and data quality across systems.

The role reports to the Head of Data & AI and requires current coding experience, cloud expertise, and a track record of governance and standards adoption in data platforms.

Qualifications

  • Senior experience architecting data platforms that run at high volume in production.
  • Hands-on coding experience with current engineering practices.
  • Production‑level Python and deep AWS experience.

Responsibilities

  • Own the architecture, scalability and automation of the data platform.
  • Define standards and best practices for data solutions, integrations and cloud infrastructure.
  • Design distributed, real-time and high-volume data processing architectures.
  • Lead solution design, architectural governance and technical decision-making.
  • Drive AWS cloud architecture, IaC, CI/CD and platform optimization. Translate business needs into scalable data, integration and AI solutions.

Skills

Data architecture
Cloud AWS
Python
Spark/Flink
Terraform
CI/CD
Architecture governance
Hands-on engineering

Tools

Snowflake
dbt
Airflow

Job description

Yonderland is seeking a Data Solutions Architect to lead the design of our data platform, built on AWS with Snowflake, dbt and Airflow. You will combine architecture ownership with hands-on engineering, delivering scalable data, integration and AI solutions while ensuring security, compliance and data quality across systems.

The role reports to the Head of Data & AI and requires current coding experience, cloud expertise, and a track record of governance and standards adoption in data platforms.

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