Data Architect

Data Architect - AI

Olympus Medical Products Portugal (OMPP) | Chief Strategy Officer

Shape the Data Foundation for the Future of Healthcare

At Olympus, we're transforming into a truly data-driven global MedTech organization. As AI, advanced analytics, and intelligent automation redefine how businesses operate, we're building the data foundations that will power the next generation of healthcare innovation. We're looking for a Data Architect with a passion for AI, semantic technologies, and modern data platforms to define how trusted data becomes a strategic enterprise asset.
This is an opportunity to influence enterprise-scale architecture, design AI-ready data ecosystems, and help unlock Machine Learning, Generative AI, and Agentic AI capabilities across a global organization.
Working within our Global Insights & Analytics team, you'll play a pivotal role in architecting data products, semantic layers, knowledge models, and AI-ready data foundations on our Snowflake-powered Data & Analytics Lakehouse.
If you're excited by the challenge of designing the architecture that enables AI at scale, we'd love to hear from you.

Your responsibilities

What You'll Be Doing

Build the Architecture Behind Enterprise AI

You’ll define the blueprint for how data is structured, connected, governed, and consumed across Olympus, ensuring our data ecosystem is designed for both today's analytics needs and tomorrow's AI opportunities.

Key responsibilities include:

• Leading the architecture strategy for enterprise data products, semantic models, ontology frameworks, and AI-ready data foundations.
• Designing scalable cross-domain data architectures that enable advanced analytics, Machine Learning, Generative AI, and Agentic AI solutions.
• Defining enterprise-wide standards for data products, metadata, interoperability, discoverability, and AI consumption.
• Establishing semantic and knowledge frameworks that enhance context, explainability, and reusable business intelligence.
• Creating reusable architecture patterns that accelerate innovation across business domains.
• Partnering closely with Data Product Owners, Analytics teams, Engineering teams, and business leaders to translate complex business challenges into scalable data solutions.

Drive Modern Data Product Thinking

You’ll help shape and mature Olympus' Data Product operating model, ensuring data assets are treated as scalable, reusable products.
You'll:

• Design and govern modern data products from conception to retirement.
• Define data contracts, metadata strategies, and interoperability standards.
• Champion Data Mesh principles and domain-oriented ownership.
• Enable trusted self-service analytics through discoverable and reusable data assets.
• Ensure data products are designed with AI consumption, automation, and future extensibility in mind.

Create AI-Ready Foundations

AI is only as effective as the data that powers it.
As a key architectural leader, you'll define how Olympus prepares data for enterprise AI adoption.
This includes:

• Designing semantic, vector-ready, and knowledge-driven architectures.
• Defining standards for lineage, explainability, traceability, and responsible AI.
• Creating architecture patterns that support RAG, intelligent agents, LLM-based applications, and advanced machine learning workloads.
• Partnering with AI solution teams to develop reusable enterprise knowledge assets.
• Helping shape the long-term AI architecture roadmap for a global MedTech leader.

What's it it for you?

You’ll have real impact

Rather than maintaining legacy architecture, you'll help define how AI and modern analytics are adopted across a global enterprise.

You’ll work at enterprise scale

Influence the design of data platforms, products, and AI capabilities used across multiple regions, business units, and functions.

You’ll shape the future

From Data Mesh and semantic architectures to Generative AI and Agentic AI, you'll be at the forefront of Olympus' digital transformation journey.

You’ll work with modern technologies

Including:

• Snowflake
• Data Product architectures
• Semantic Layer technologies
• Knowledge Graphs & Ontologies
• Generative AI
• Agentic AI
• Machine Learning platforms
• Metadata & Governance frameworks
• Data Mesh operating models
• Modern cloud-based analytics ecosystems

Education

• Degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience.

Experience

• 7+ y