Data Architect

The impact of the role:

We are seeking an experienced Data Architect to lead the design and evolution of our enterprise data architecture across modern cloud-based data platforms. The successful candidate will define target-state architectures, establish data standards, and drive scalable, secure, and business-aligned data solutions. This role requires deep expertise in Databricks, Azure data services, and enterprise-scale data architecture, with a strong understanding of supply chain, logistics, warehouse, or operational business domains.

On a given day, a Data Architect will:

• Design and govern enterprise data architecture, ensuring scalability, security, interoperability, and reusability.
• Define conceptual, logical, and physical data models aligned to business and technology strategy.
• Establish and maintain canonical data models, data domains, integration patterns, and architecture standards.
• Design Lakehouse architectures leveraging Databricks, Delta Lake, Azure Data Platform services, APIs, and event-driven architectures.
• Own architecture roadmaps, target-state designs, and technology modernization initiatives.
• Drive data governance, metadata management, lineage, information ownership, and data quality frameworks.
• Collaborate with business stakeholders, product managers, engineers, and architects to translate business requirements into strategic data solutions.
• Design scalable data products and enable analytics, operational reporting, and AI-driven use cases.
• Provide architectural oversight across data engineering, integration, analytics, and operational data platforms.
• Mentor teams and promote architectural best practices, standards, and consistency across initiatives.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
• 8+ years of experience with 3+ years in Data Architecture within cloud-based enterprise environments.
• Experience with Databricks and modern Lakehouse architectures.
• Expert-level knowledge of conceptual, logical, and physical data modelling.
• Strong expertise in Azure Data Platform services, SQL, APIs, event-driven integration, and enterprise data ecosystems.
• Deep understanding of data governance, security, metadata management, lineage, and access management.
• Experience designing scalable data products and enterprise integration architectures.
• Strong understanding of data engineering frameworks including Python, Spark, SQL, and Delta Lake.
• Experience within logistics, warehouse, inventory, transport, planning, manufacturing, or supply chain environments.
• Experience working with AI tools and leveraging AI-assisted development practices.

Benefits

Perks that match your passion:

💰 Your Expertise Rewarded

• A competitive compensation package that grows with your impact.
• Annual Performance and Salary Reviews to celebrate your progress.

🌱 Never Stop Growing

Please note that these are some of the benefits to offer.