Azure Data Architect - Cloud Data Platform Leader

Silverlink Technologies; Brussel Hoofdstad; On-site; EUR 90,000 - 130,000; Full time

Job summary

Silverlink Technologies is seeking an experienced Azure Data Architect to design, build, and govern scalable data platforms on Microsoft Azure. You will collaborate with data engineers, analysts, and solution architects to deliver enterprise-grade data solutions.

The role requires expertise in data architecture, governance, analytics, and cloud migration strategies, with a focus on scalable, secure architectures and leadership of data engineering teams.

Qualifications

• Experience designing and governing cloud-based data platforms on Azure.
• Strong knowledge of data modeling, governance, and migration strategies.
• Ability to collaborate with stakeholders and mentor data engineering teams.

Responsibilities

• Design and implement modern data architectures using Microsoft Azure services.
• Define enterprise data models, data integration patterns, and data governance frameworks.
• Architect scalable data lakes, data warehouses, and lakehouse solutions.
• Lead data platform modernization and migration from on-premises to Azure.
• Establish data quality, security, compliance, and monitoring standards.
• Collaborate with business and technical teams to translate requirements into architecture solutions.
• Optimize data platforms for performance, scalability, reliability, and cost efficiency.
• Provide technical leadership and mentorship to data engineering teams.
• Create architecture documentation, standards, and best practices.

Skills

Data Warehouse Design

Data Lake & Lakehouse Architecture

Dimensional Modeling

Data Modeling

Job description

Silverlink Technologies is seeking an experienced Azure Data Architect to design, build, and govern scalable data platforms on Microsoft Azure. You will collaborate with data engineers, analysts, and solution architects to deliver enterprise-grade data solutions.

The role requires expertise in data architecture, governance, analytics, and cloud migration strategies, with a focus on scalable, secure architectures and leadership of data engineering teams.