Azure Data Architect

Editx; Brussel; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Editx is seeking a Senior Data Architect to design and shape modern enterprise data platforms with a focus on Databricks and Microsoft Azure. You will lead architectural strategies, governance, and data modeling across analytical and operational use cases.

Collaborating with data engineers, data scientists, BI teams, and executives, you will drive scalable, secure data ecosystems and ensure data quality and regulatory compliance.

Responsabilités

• Designing and implementing enterprise-wide data architectures on Azure and Databricks.
• Defining data platform roadmaps, architecture standards, and governance frameworks.
• Leading the design of modern data lakehouse architectures using Databricks.
• Collaborating with business stakeholders, data engineers, data scientists, BI teams, and senior leadership to translate business requirements into scalable technical solutions.
• Defining data modeling strategies for analytical and operational use cases.
• Ensuring data quality, security, compliance, and governance across the data landscape.
• Providing architectural guidance and technical leadership to delivery teams.
• Evaluating emerging technologies and recommending improvements to the data platform ecosystem.
• Documenting architecture decisions, technical standards, and best practices.

Connaissances

Azure

Databricks

Data architecture

Data governance

Leadership

Security

Architecture

Description du poste

About this vacancy

As a Senior Data Architect, you are responsible for designing and shaping modern enterprise data platforms that enable data-driven decision-making across the organization. You define data architecture strategies, establish best practices, and lead the design of scalable, secure, and high-performing data ecosystems, with a strong focus on Databricks and Microsoft Azure.

Your responsibilities include:

• Designing and implementing enterprise-wide data architectures on Azure and Databricks.
• Defining data platform roadmaps, architecture standards, and governance frameworks.
• Leading the design of modern data lakehouse architectures using Databricks.
• Collaborating with business stakeholders, Data Engineers, Data Scientists, BI teams, and senior leadership to translate business requirements into scalable technical solutions.
• Defining data modeling strategies for analytical and operational use cases.
• Ensuring data quality, security, compliance, and governance across the data landscape.
• Providing architectural guidance and technical leadership to delivery teams.
• Evaluating emerging technologies and recommending improvements to the data platform ecosystem.
• Documenting architecture decisions, technical standards, and best practices.