Data Architect - AI

Your Responsibilities - What You'll Be DoingBuild the Architecture Behind Enterprise AIYou'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 ThinkingYou'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 FoundationsAI 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 impactRather than maintaining legacy architecture, you'll help define how AI and modern analytics are adopted across a global enterprise. You'll work at enterprise scaleInfluence the design of data platforms, products, and AI capabilities used across multiple regions, business units, and functions. You'll shape the futureFrom 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 TechnologiesIncluding - 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 Your qualificationExperienceSkills & AttributesBonus Points If You Have Experience With - Education - Degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience. - 7+ years' experience designing enterprise-scale data architectures, analytics platforms, or data products. - Proven track record architecting modern data ecosystems that support Analytics, Machine Learning, Generative AI, and Agentic AI. - Deep expertise in data modelling, semantic architectures, ontologies, and cross-domain data design. - Experience building and governing Data Products within Data Mesh or Data-as-a-Product operating models. - Hands-on experience with Snowflake and cloud data platforms, ideally within Microsoft Azure environments. - Strong understanding of Lakehouse architectures, Medallion design patterns, and modern data engineering principles. - Experience designing AI-ready data foundations, including semantic layers, metadata strategies, knowledge models, and vector-ready architectures. - Familiarity with enterprise data disciplines including Data Governance, Master Data Management, Data Quality, Metadata Management, and Data Lineage. - Comfortable influencing enterprise transformation programmes and collaborating across business, technology, and external partner teams. - Able to translate complex business challenges into scalable, future-ready data architectures. - Strong communicator who can influence technical and non-technical stakeholders at all levels. - Passionate about emerging AI technologies and their practical application within large-scale enterprises. - Strategic thinker with a hands-on approach to architecture, standards, and solution design. - Excellent problem-solving skills with the ability to balance innovation, governance, and business value. - Advocate for reusable, discoverable, and trusted data products that accelerate AI adoption. - Knowledge Graphs and Ontology Management - Semantic Layer technologies - Retrieval-Augmented Generation (RAG) - Large Language Models (LLMs) - Vector Databases and AI Knowledge Platforms - Agentic AI architectures and enterprise AI platforms - Healthcare, MedTech, Life Sciences, or regulated industries Your competencies - Meticulous & Detail-Oriented: Ensures accuracy in equipment management, calibration checks, and documentation. - Analytical & Problem-Solving: Interprets calibration results, identifies deviations, and implements corrective actions. - Results-Oriented & Decisive: Meets calibration deadlines and ensures operational reliability. - Effective Communication: Collaborates with internal teams and external suppliers, ensuring clear documentation and compliance. - Teamwork & Independence: Works autonomously on equipment monitoring while supporting cross-functional initiatives. - Commitment to Quality, Compliance & Safety: Upholds ISO 13485 standards, promotes a quality culture, and ensures safe, compliant operations. - Commitment to diversity and inclusion. Your Benefits - Compensation: - Competitive Salary - Permanent employment contract Well Being In Focus - Health Insurance - Vacation Policy (24 vacation days, with additional days off for your birthday and December 24th) - Free Curative Medicine - 24/7 Employee Assistance Program (EAP) - Nutritional Options at Work (canteen with diverse meal choices including meat, fish, diet, vegetarian, and composed salads) Culture Of Development And Learning - Unlimited Access to LinkedIn Learning - Initial and continuous training aligned with your career goals. Other Benefits - Referral Program - Engaging Events (Team buildings, holidays celebrations, and themed days) - On-site parking (for cars, motorcycles, and bikes, including electric car chargers)