Krakow, Poland


Information Technology



Job ID


MAKE HISTORY WITH US! At PMI, we’ve chosen to do something incredible. We’re totally transforming our business, and building our future on smoke-free products with the power to improve the lives of a billion smokers worldwide. With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. The Enterprise Analytics and Data team has the ambition to transform Philip Morris into a company where decision-making process is driven by data and specifically, in that context, we are looking to harness the power of machine learning to accelerate this transformation. As part of this team, we are looking for a Senior Data Architect specializing in building and delivering data architectures to support Machine Learning (ML) models. This is truly an exceptional opportunity to accelerate your career and work alongside a wide cross-section of business and IT leaders within the organization. To succeed, you will need a healthy mix of strategic thinking, deep hands-on experience of modern data architecture practices (Polyglot Persistence) and a deep understanding of ML training (learning), inference (prediction) and deployment architectures on Cloud platforms. The principal questions you are expected to answer are: “How to design and build data models for machine learning that fulfil the need for appropriate data access, data preparation, data serving, data analysis and data reporting of model outcomes?” “How to design and build data models for machine learning that are mapped to the various phases of the machine learning model lifecycle (model selection, model training, model fitting etc.)?” “How can such data models be containerized and offered to our team of data scientists so they are able to move from exploration to industrialization of the ML models seamlessly using these data architecture patterns?” You are expected to propose, design and architect the data architecture(s) that is best suited to address our current status quo but also is evolutionary in aiming to future-proof the roadmap for ML Data Architecture. The following key outcomes are expected: Data Architecture patterns that are aligned to our standard CI/CD process and model deployment. Data Architecture that encourages rapid experimentation and synthesis using economies of scale. Data Architecture for ML activities like training (batch size, distillation) &inference (quantization). Define and embed the data architecture standards for ML/AI systems, specifically for: - Accessing raw data - Building features from raw data - Combining features into training data - Calculating and serving features in production - Monitoring features in production You will be a key member of the Data Architecture and Data Strategy Team and will work closely with our Domain architect, Machine learning architect, NLP architect and a core team of Enterprise Data Architects to ensure your proposed technical and data architecture for API integration services is in full alignment with our underlying business and technical strategic drivers and challenges faced by PMI. JOIN US! WHO ARE WE LOOKING FOR? • 5+ years of data architecture experience in a cloud-based environment delivering large scale technology projects in an international company and environment • Proven Experience with Machine Learning Architecture design and delivery. • Strong track record in applying industry standard policies and procedures. • Exceptionally Strong cloud technology background with sound understanding of Solution Architecture design principles. • Prepare and present ML data architecture stack to required governance bodies. • Define and drive Proof of Concept activities for chosen data architecture roadmap • Work with global functions on common solutions, identifying re-use opportunities for ML data models so we can leverage economies of scale, scope and effort. • Proven working experience with software design/ architecture patterns and strong understanding of backend integration technologies and patterns • Excellent stakeholder management skills with the ability to translate technical complexities into business-friendly language. • Strategic ability to relate the current technology and application landscape to the evolving business needs and identify the data architecture gaps • Experience of working with broader architecture community (EA, SA, AA) • Understanding of modern data architectures, data extract mechanisms, functional decomposition and business rules engines. • Experience with SCRUM methodology and/or following an agile approach WHAT WE OFFER YOU? • private medical and dental care, life insurance • subsidized meals in company canteens • remote work opportunity and flexible working arrangements • employee pension plan • multisport program • holiday, cultural & Christmas bonus • wide range of trainings, optional language classes, further education and professional qualification support possibility • free bike and car parking for all employees HOW CAN YOU MAKE HISTORY WITH US? •Define and lead the Data Architecture roadmap to support Machine Learning capabilities for PMI. •Create with Data Managers, Data Governance Leads, Solution architects(ML/AI)and DevOps (Platform)colleagues to ensure data architecture blueprint is primed to succeed. •Work closely with Domain Architect (EAD) to align on the technology roadmap that will drive the overall data platform supporting machine learning capabilities. •Work closely with wider data architecture team to share, learn and co-create a cohesive, future-proofed data architecture roadmap. •Lead development of analytical platform capabilities on behalf of EAD linked closely to the type of machine learning data models to support the data science roadmap. •Represent EAD in the PMI architecture community network by providing innovative ideas and input to enterprise architecture strategies & artifacts, based on domain area (ML) expertise •In close collaboration with the wider EAD architecture community and other IT and business stakeholders, co-create concrete, robust and appropriate ML data architectures and transition roadmaps for implementation. •Review and Approve data architecture proposals for EAD that will support industrialization of machine learning models in production. •Advocate & evangelize learnings& best practices within data architecture for machine learning. •Proactively evaluate new technology and market trends and provide technology/digital recommendations to support your data architecture roadmap for ML. •Ensure quality guidelines and control process are created and implemented for execution. •Actively support colleagues in the journey of machine learning architectures. •Communicate and be a torchbearer for EAD internally and externally Please note that only on-line applications will be taken into consideration. Only selected candidates will be contacted.