REQUIRED SKILLS & EXPERIENCE

• 9+ years of relevant experience in data architecture.
• Proficiency with Visio, Draw.io, Collibra, Databricks.
• Strong expertise in data architecture, flow mapping, and modeling (conceptual, logical, physical).
• Ability to facilitate workshops and communicate effectively with business stakeholders.
• Solid knowledge of data governance principles (master data, data domains, critical data).
• Hands-on experience with modern data & analytics platforms (data lakes, warehouses, consumption zones).
• Proven ability to deliver solutions in large-scale, complex environments under tight deadlines.

EXIGENCES ET QUALIFICATIONS REQUISES

• Plus de 9 ans d’expérience en architecture de données.
• Maîtrise des outils : Visio, Draw.io, Collibra, Databricks.
• Solide expertise en architecture de données, cartographie des flux et modélisation (conceptuelle, logique, physique).
• Aptitude à animer des ateliers et à vulgariser auprès des parties prenantes affaires.
• Bonne compréhension des principes de gouvernance de données (master data, domaines de données, données critiques).
• Expérience avec des environnements modernes de données et analytiques (data lake, entrepôts de données, zones de consommation).
• Capacité à livrer dans des environnements complexes avec des échéanciers serrés.
  Job Type: Fixed term contract
  Contract length: 12 months
  Pay: $75.00-$80.00 per hour
  Expected hours: 40 per week
  Work Location: In perso

ABOUT THE ROLE

We are seeking an experienced Data Mapping Architect to lead strategic initiatives around data understanding, governance, and integration. This role focuses on designing and optimizing data architectures that align with enterprise-wide objectives and create business value.

KEY RESPONSIBILITIES

• Define and design data architecture for prioritized business groups.
• Develop schematics of data environments (source systems, analytics platforms, data flows).
• Identify critical data and incorporate it into architecture models.
• Contribute to structuring of data domains and conceptual modeling.
• Support deployment of a federated Data & AI model by enabling business ownership of data architecture.