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# Data Architect

- **Company:** Atos Nederland B.V.
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, BigQuery, Data Architecture, Information Engineering, Data Infrastructure, Data Warehousing, Python (Programming Language), Logical Data Models, Machine Learning, Meta-Data Management, SQL Databases, Google Cloud, Enterprise Software Applications, Cloud Platform System, Snowflake, Data Pipelines, Amazon Redshift, Databricks, Programming Languages
- **Published:** June 18, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=839b0bb6e1993a23

## About the Role

Do you have experience in SQL?, * Minimum 8 years of experience with minimum 4 years of experience in data architecture roles.

 * Strong understanding of modern data architectures (Lakehouse, Data Mesh).
 * Experience working with cross-functional teams including data engineers, analysts, and scientists.
 * Excellent communication skills to bridge technical and non-technical stakeholders.
 * Strategic mindset with the ability to align data initiatives with business goals.
 * You have hands-on experience with modern data tools and platforms, including data warehousing solutions such as Snowflake, BigQuery, Redshift, and Databricks; programming languages like Python and SQL; transformation tools such as dbt; and cloud environments including Azure, AWS, and GCP.
 * Fluent in Dutch and English.

## Description

* Design conceptual, enterprise, and logical data models across multiple domains.
 * Define and select appropriate data platform technologies (e.g., Snowflake, BigQuery, Redshift, Databricks).
 * Architect scalable and cost-efficient data pipelines using e.g. SQL, Python, and dbt.
 * Align data architecture with enterprise systems and anticipate future changes (e.g., CRM or ERP migrations).
 * Collaborate on ML and AI architecture, supporting technical solutions for advanced analytics.
 * Integrate governance tools (e.g., Microsoft Purview) and define lineage and metadata management patterns.
 * Work closely with stakeholders to translate business needs into technical solutions.
 * Ensure compliance with data quality, security, and regulatory standards.
 * Stay current with emerging trends in data engineering and analytics.


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