Data Architect

Requirements

• Proven experience designing enterprise-level data architectures in Azure and/or AWS environments.
• Expertise in Databricks, Lakehouse architecture, and data processing frameworks (e.g., Spark).
• Hands-on experience implementing Master Data Management strategies and tools.
• Strong proficiency in SQL/python, data modeling, and data integration patterns.
• Familiarity with data governance, data cataloging, and data quality monitoring tools.
• Excellent English language skills, both written and spoken, especially for technical communication.
• Strong interpersonal skills with the ability to collaborate, share ideas, and build consensus across teams.
• Experience working in multicultural, international environments.
• French language skills - Nice to have
• Experience with Microsoft Purview, Collibra, or similar metadata management tools - Nice to have
• Background in BI development (e.g., Power BI) or experience working closely with reporting teams - Nice to have
• Familiarity with security and compliance standards in cloud-based data environments - Nice to have

Job description

We’re looking for a skilled Data Architect to join our growing Data & BI team at Spyrosoft. In this senior-level role, you’ll design and build robust data architectures with a strong focus on Master Data Management, Databricks, and Lakehouse solutions on Azure or AWS. You’ll collaborate with international, cross-functional teams, share your vision, and help drive alignment on data strategy. Strong communication and interpersonal skills will be key as you work with both technical and business stakeholders in a multicultural environment. If you’re passionate about shaping modern data ecosystems and enabling organizations to turn raw data into trusted, high-impact insights—we’d love to hear from you.

Responsibilities

• Architect and implement scalable data solutions using Lakehouse, Databricks and cloud platforms (Azure or AWS).
• Design and oversee Master Data Management (MDM) frameworks, ensuring consistency, accuracy, and governance of core business data.
• Design or optimize ETL/ELT pipelines, integrating data from diverse sources and ensuring high availability.
• Collaborate with DevOps and infrastructure teams to ensure resilient cloud-native architecture and incident-ready solutions.
• Develop and enforce data governance principles and manage tools like Microsoft Purview or Collibra.
• Create data models and semantic layers that serve as the foundation for BI and analytics solutions.
• Support teams by transforming business requirements into architecture blueprints and data-driven designs.
• Engage with diverse teams to communicate ideas and co-create architectural visions, promoting shared ownership and alignment.
• Mentor team members, driving data architecture best practices across the organization.