Requirements

Expected technologies

Databricks

Architectural Design

Technical Leadership

Azure SQL

Azure Cloud

Operating system

Windows

macOS

Linux

Our requirements

• ready to start immediately,
• 3+ years’ experience with Azure (Data Factory, SQL, Data Lake, Power BI, Devops, Delta Lake, CosmosDB),
• 5+ years’ experience with data engineering or backend/fullstack software development,
• strong SQL skills,
• Python scripting proficiency,
• experience with data transformation tools – Databricks and Spark,
• data manipulation libraries (such as Pandas, NumPy, PySpark),
• experience in structuring and modelling data in both relational and non-relational forms,
• ability to elaborate and propose relational/non-relational approach,
• normalization / denormalization and data warehousing concepts (star, Snowflake schemas),
• designing for transactional and analytical operations,
• experience with CI/CD tooling (GitHub, Azure DevOps, Harness etc),
• working knowledge of Git, Databricks will be benefit,
• good verbal and written communication skills in English.
• Work from the European Union region and a work permit are required.
• Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation\_customs/vies/

Optional

• proven experience as an Enterprise or Lead Data Architect in complex, enterprise-scale environments,
• deep expertise in Microsoft Azure and Databricks,
• strong understanding of data architecture principles, data governance, and modern data platforms,
• ability to work across business and technical domains, with a focus on value creation and business impact,
• willingness to occasionally work on site in Amsterdam,
• very good command of English (min. C1).
• Work from the European Union region and a work permit are required.
• Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation\_customs/vies/

Your responsibilities

• leading and inspiring cross-functional architecture efforts across our client’s organization,
• filling an internal strategic role designed to bring added value to the client by aligning data architecture with business innovation and long-term growth,
• acting as a thought leader and enabler,
• supporting dedicated architects and teams across multiple domains, including:
• AI & ML Projects (40–60%),
• B2B & B2C E-commerce Platforms (20%),
• DataOps & Data Engineering (20%).