Data-architect

V-IT NV; Belgique; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

V-IT NV is seeking a Data Architect in Gent to lead data architecture across the end-to-end data lifecycle. You will collaborate with multiple product and internal teams, shaping governance, quality, security, and metadata strategies.

The role emphasizes hands-on Databricks work, enterprise-architecture alignment, and a strong focus on data platforms within Azure. Based in Gent, the position requires ongoing collaboration with cross-functional teams.

Qualifications

• Proven experience in analytics, BI development, data analysis, data engineering or platforms administration.
• Familiarity with CI/CD pipelines and Git version control.
• Experience on Azure Cloud data stack (Databricks, ADLS storage, SQL DB).
• Knowledge of Databricks and metadata-driven data architectures.

Responsabilités

• Provide architecture leadership and lifecycle data management.
• Offer technical leadership and contribute to development efforts across the data platform.
• Collaborate with product teams and compliance, privacy, risk, information security, support, and operations.
• Develop architectures, strategies, and policies around data governance, metadata management, data quality, and data security.
• Build domain business knowledge and translate these into technical solutions.

Connaissances

Analytics & BI development

Data analysis

Data engineering

Platforms administration

Outils

Git

CI/CD pipelines

Description du poste

Data Architect

Location: Gent

Responsibilities

• Provide architecture leadership and support within the end-to-end lifecycle of managing data.
• Offer technical leadership, participate in development efforts, and represent the full internal and external capabilities of the data platform.
• Collaborate with multiple product teams and internal teams including compliance, privacy, risk, information security, support, and operations.
• Develop architectures, strategies, and policies around data, including data governance, master data management, metadata management, data quality, and data security.
• Build domain business knowledge and translate these into technical solutions.

Required Qualifications and Experience

• Proven experience in one of the following development tracks: Analytics & BI development, data analysis, data engineering, platforms administration.
• Familiarity with CI/CD pipelines and version control (Git, etc.).
• Experience on Azure Cloud platform around data (Databricks, ADLS storage, SQL DB).
• Proficiency in technologies like Python or Spark.
• Deep, hands-on knowledge of Databricks and experience in building and maintaining metadata-driven frameworks on Databricks.
• Experience in defining and owning end-to-end scalable Data Architecture considering enterprise architecture and industry standards.

Desired Skills and Certifications

• Experience with Angular, ADF, Power BI is an advantage.
• Strong problem-solving skills and a structured way of working within an agile delivery model.
• Excellent communication and collaboration skills, with a passion for interacting with business stakeholders and cross-functional teams.