Data & Analytics Solution Architect

Philip Morris International; Kraków; On-site; PLN 389,000 - 562,000; Full time

Job summary

Philip Morris International is seeking a Solution Architect to design Data & Analytics capabilities supporting key business functions. You will work with cross‑functional teams to ensure scalable and reliable solutions, while aligning with governance and architecture standards.

Responsibilities include analyzing requirements, documenting architectures, and mentoring stakeholders on best practices. Strong AI awareness and excellent collaboration are required for success.

Qualifications

• Bachelor’s degree in computer science, IT, or related field.
• 2–5 years in solution architecture, systems design, or related role.
• Experience with data processing, integration patterns, and architecture frameworks.
• Knowledge of Snowflake, AWS, Power BI; DBT and NoSQL are a plus.
• Fluent in English; strong problem-solving and communication skills.

Responsibilities

• Analyse business requirements and design data/analytics solutions.
• Ensure solutions align with IT strategy and are reusable.
• Document architecture and govern solution designs.
• Collaborate with IT, Engineering, InfoSec, and product teams.
• Stay updated on AI trends and responsible AI practices.
• Provide coaching on architecture practices to end-users.

Skills

Data & Analytics

Solution architecture

AI trends

Communication

Team collaboration

Education

Bachelor's degree in computer science or related field

Information Technology fundamentals

Tools

Snowflake

AWS

Power BI

Matillion

DBT

NoSQL databases

R Studio / R Shiny

AWS Bedrock

Job description

Philip Morris International is seeking a Solution Architect to design Data & Analytics capabilities supporting key business functions. You will work with cross‑functional teams to ensure scalable and reliable solutions, while aligning with governance and architecture standards.

Responsibilities include analyzing requirements, documenting architectures, and mentoring stakeholders on best practices. Strong AI awareness and excellent collaboration are required for success.