Solution Architect (Data)

Strategic Architecture & Ecosystem Vision:Execute and evolve the solution architectural vision and strategy for the Europe Transportation EcosystemCollaborate with diverse stakeholders (Business process experts, Product owners developers, operations, and external partners) to bring digital products from concept to reality within this ecosystemHands-on Architecture & Delivery:Actively participate in solution discovery, translating complex business requirements into tangible, robust solution architectural designs for agentic solutions, communication platforms, and Control TowerIn the initial 3-6 months, take a hands-on approach to data architecture, directly engaging in data modeling, mapping, and schema definition alongside the data team to progress the semantic layerBuild, prototype, evolve and iterate on solution designs directly with product and project teams, ensuring active involvement in the development lifecycle rather than solely advisoryEnsure robust data and semantic layer foundation for all European Transportation, supporting current and future program needsArchitecture Stewardship & Enterprise Alignment:Develop and maintain critical architectural assets, including reference architectures, patterns, and guidelines for European Transportation EcosystemConduct rigorous architecture reviews for in-flight projects, ensuring compliance with established standards, security policies, and performance requirementsManage and curate all architecture artifacts (e.g., process flows, diagrams, structured data, frameworks, technology stacks) for European Transportation EcosystemActively participate in Architecture Review Boards and ARB Working Groups, presenting designs, defending architectural decisions, and collaborating on enterprise-wide architectural initiativesKnowledge Acceleration & Innovation:Define, document, and evangelize architectural best practices, design principles, and insights across development and product teamsActively contribute to and lead Communities of Practice, fostering knowledge sharing and skill development within the organizationStay at the forefront of architectural advancements, emerging technologies, and industry trends, particularly in areas relevant to agentic solutions, data platforms, and enterprise integrationIdentify and evaluate innovative opportunitiesJob QualificationsBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.5+ years of experience in Data Architecture / IT industry experience.A working knowledge of cloud architectures (Azure), enterprise integration patterns, and DevOps practices is expected.Proven experience in leading solution design for generative technologies, including effort estimation, pricing, and business case presentations for clients, is essential.Deep knowledge of system, application, and infrastructure (network, cloud) security architecture.Knowledge of delta lake, database systems and query optimization.Experience with Databricks and Microsoft Azure.Basic programming skills in languages such as Python, SQL.Strong problem-solving, analytical skills and a proactive approach to challenges.Strong written and verbal English communication skills to influence others.Familiarity with DevOps and CICD process and toolset such as Sonarqube, Github and Azure DevOpsBasic Project Management skills or experience working on big projects as team member.Agile framework experience and experience working in an Agile environment.Demonstrated ability to manage multiple priorities simultaneously while maintaining attention to detail.Experience working in fast-paced, dynamic environments.PreferredCandidates must possess significant experience in data & automation solution architecture, with proven successes focused on Generative AI and/or Agentic AI solutions.Deep hands-on expertise with Semantic Model and LLMsUnderstanding of Microsoft Azure AI services, particularly Azure AI Foundry, Azure AI Agent Service, Microsoft Copilot StudioStrong experience in opportunity identification for transformation, automation, and AI within enterprise environments.Proficiency in data modeling, data integration, and ETL processes.Strong programming skills in languages such as Python, SQL.Understanding of data governance and data privacy principles.Prior knowledge of Power Platform is a significant value add.Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols is highly desirable.Experience with rapid prototyping of Generative and Agentic AI solutions would be beneficial.A consulting background or prior experience in a client-facing technical specialist role would be advantageous.What we offerResponsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginningDynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balanceContinuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day oneIndustry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainingsBig Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents