Data Technical Lead – Azure & Databricks

Responsibilities

• Serve as the technical authority for data engineers and ensure adherence to architectural standards.
• Perform pull request validations and peer reviews to maintain high-quality data engineering practices.
• Translate architectural guidelines into actionable technical instructions for implementation teams.
• Design, develop, and optimize scalable data pipelines within the cloud ecosystem.
• Collaborate with data modelers to ensure the implementation of robust and scalable data structures.
• Provide coaching and guidance to junior engineers to foster technical growth.
• Contribute to the continuous improvement of the data platform and engineering maturity.

Requirements

• You possess extensive experience with the Azure ecosystem, specifically Azure Synapse, Azure Data Factory (ADF), and Mapping Data Flow (MDF).
• You have strong proficiency in Databricks and PySpark.
• You bring advanced knowledge of SQL for data transformation and analysis.
• You're experienced in dimensional modelling, star schemas, and Data Warehouse concepts.
• You possess natural leadership abilities with the capacity to guide and support multiple teams.
• You have strong communication skills, an analytical mindset, and a structured approach to problem-solving.
• You're capable of making technical decisions independently while working autonomously.
• You are fluent in English and French with good knowledge of Dutch.

Nice to Haves

• Experience with Power BI and semantic data modelling.