Data Architect

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., * 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., Supporting Your Daily Success
• Monthly Meal Vouchers to fuel your creativity.
• Premium Private Health Coverage for you and your family.

Never Stop Growing

• Yearly training budget to master new skills.
• Cutting-edge tech setup with optional upgrades to customize your gear.
• Structured growth plans and regular progress check-ins.

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

If you are curious, thoughtful in your approach, and motivated to build technology that lasts, you will find opportunities to learn, contribute, and grow with us.

• 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.

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.

Moro Technology Corporation (MTC) is Software Engineering services provider with teams across Europe, Japan and North America. By combining technical expertise with the principles of Japanese craftsmanship, we focus on building high-quality solutions while continuously improving the way we work. Our work spans Automotive and Smart Mobility, helping shape the systems people rely on every day.

Joining MTC means becoming part of an international team where you will work on meaningful projects, collaborate with talented colleagues across countries and disciplines, and have the opportunity to learn, grow, and make an impact.

We are Global by Design and Close by Choice. We foster a culture of ownership, continuous learning, and mutual respect, where people are trusted to do their best work.