Senior Data Architect & Solution Lead – Azure & Power BI

MEERAB GROUP; Brussel Hoofdstad; On-site; EUR 90,000 - 140,000; Full time

Job summary

MEERAB GROUP seeks a Senior Data Architect to lead the data platform development and assume some Solution Architect duties. You will collaborate with business and ICT teams, aligning with the Architecture and Operations departments to interpret tasks.

The role emphasizes hands-on implementation by the internal team and ongoing progress reporting through steering groups. You will drive end-to-end data solutions, translate concepts into models, and ensure data standards are applied across domains

Qualifications

• Demonstrated data architecture across multiple projects with complex data challenges.
• Experience with Azure DevOps and data platform projects.
• Knowledge of Power BI and data governance practices.
• Experience in the public/government sector.
• Ability to translate data models into logical architectures.

Responsibilities

• Lead architecture across data platform projects and coordinate with business and ICT teams.
• Collaborate with ICT Architecture and Operations to interpret tasks and ensure alignment with governance.
• Ensure implementations are carried out and managed by the internal team wherever possible.
• Provide regular progress updates through project and steering groups.
• Deliver end-to-end data domain solutions within the data platform.

Skills

Data architecture

Azure DevOps

Power BI

Data management

Data standards

Programming languages

Public sector experience

Tools

Microsoft Azure DevOps

Microsoft Fabric

Job description

MEERAB GROUP seeks a Senior Data Architect to lead the data platform development and assume some Solution Architect duties. You will collaborate with business and ICT teams, aligning with the Architecture and Operations departments to interpret tasks.

The role emphasizes hands-on implementation by the internal team and ongoing progress reporting through steering groups. You will drive end-to-end data solutions, translate concepts into models, and ensure data standards are applied across domains