Solution architect role for the European Transportation Ecosystem, based in Warsaw (plant & go). Job number R000160125, experienced professionals level.
You will work with business process experts, product owners, developers, operations staff and external partners to take digital products from concept through to delivery.
The team builds agentic solutions, communication platforms and a Control Tower.
Responsibilities
Shape and drive the architecture vision and strategy for the European Transportation Ecosystem.
Join solution discovery and turn complex business needs into sound, sturdy architecture designs for agentic solutions, communication platforms and the Control Tower.
During your first 3 to 6 months, do hands-on data architecture: model data, map it, define schemas and build the semantic layer with the data team.
Build, prototype and refine designs with product and project teams, staying involved in development rather than only advising.
Make sure the data and semantic layer can support all European Transportation programs, now and later.
Create and maintain reference architectures, patterns and guidelines for the ecosystem.
Review in-flight projects for compliance with standards, security policies and performance requirements.
Maintain architecture artifacts such as process flows, diagrams, structured data, frameworks and technology stacks.
Present designs and defend decisions at Architecture Review Boards and in ARB working groups, and help shape enterprise-wide architecture work.
Define, document and promote architecture best practices and design principles to development and product teams.
Lead or contribute to Communities of Practice that build knowledge and skills across the organization.
Track new architecture approaches, emerging technologies and trends, especially around agentic solutions, data platforms and enterprise integration, and assess new opportunities.
Requirements
Bachelor's or Master's degree in computer science, engineering, mathematics or a related field.
5+ years in data architecture or IT.
Working knowledge of Azure cloud architecture, enterprise integration patterns and DevOps practices.
Proven experience leading solution design for generative technologies, including effort estimation, pricing and client business case presentations. Essential.
Deep knowledge of security architecture across systems, applications and infrastructure, including network and cloud.
Knowledge of delta lake, database systems and query optimization.
Experience with Databricks and Microsoft Azure.
Basic programming in Python and SQL.
Strong problem-solving and analytical skills, with a proactive attitude toward challenges.
Strong written and spoken English to influence others.
Familiarity with DevOps and CI/CD tools such as SonarQube, GitHub and Azure DevOps.
Basic project management skills, or experience as a team member on large projects.
Experience with Agile frameworks and working in Agile teams.
Ability to juggle several priorities at once while keeping attention to detail.
Experience in fast-paced, changing environments.
Preferred: significant experience in data and automation solution architecture, with proven results in Generative AI and/or Agentic AI.
Preferred: deep hands-on experience with semantic models and LLMs.
Preferred: understanding of Microsoft Azure AI services, particularly Azure AI Foundry, Azure AI Agent Service and Microsoft Copilot Studio.
Preferred: strong record of finding opportunities for transformation, automation and AI in enterprise environments.
Preferred: proficiency in data modeling, data integration and ETL processes.
Preferred: stronger programming skills in Python and SQL.
Preferred: understanding of data governance and data privacy principles.
Preferred: prior Power Platform knowledge, a significant added value.
Preferred: knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols, highly desirable.
Preferred: experience rapidly prototyping generative and agentic AI solutions.
Preferred: consulting background or prior client-facing technical specialist experience, advantageous.
Conditions
Full-time position.
Employment is only offered as a full-time employment contract (Umowa o Pracę). Applicants must accept this.
Hybrid work: you can work from home two days a week and spend the rest in the office.
The company values diversity and is an equal opportunity employer.
Benefits
Project ownership and autonomy from day one, with responsibility for delivering change and results.
A supportive, people-focused workplace that encourages initiative, agility and work-life balance.
Ongoing coaching and mentoring from your line manager and colleagues, plus corporate and functional training to help you develop from the start.
Support for industry certifications such as ITIL, DevOps and Microsoft portfolio certifications.
Private healthcare, Dynamic Living programs including sport cards, an in-office fitness center, company stock options, savings plans, a lunch subsidy, regular salary increases, possible promotions, flexible work arrangements and mentoring programs.
A broad view of the company's IT and Product Supply organization and its services across global, multi-functional teams in several locations on different continents.