Principal Enterprise Data Architect: Cloud Analytics Leader

Philip Morris International; Kraków; Hybrid; PLN 295,000 - 360,000; Full time

Benefits offered by this job

Company car or car allowance

Private medical and dental care

Life insurance

Hybrid work model

Pension plan

Lunch card

Training and development support

Job summary

Philip Morris International is seeking a Principal Enterprise Data Architect to design and deliver enterprise data models across Consumer, R&D and Product Quality domains. You will collaborate with business partners and IT stakeholders to ensure data requirements meet business outcomes, leveraging cloud-based analytics on a modern tech stack.

The role involves leading architecture workshops, aligning with SAFe/ Scrum, and mentoring teams while supporting global data transformation initiatives.

Qualifications

• Masters in Computer Sciences, Information Management, or similar.
• 5–10 years of cloud-based data architecture experience in international environments.
• Strong BI and Big Data knowledge (Snowflake, Spark).
• Experience leading workshops and aligning architecture with business needs.

Responsibilities

• Design enterprise-wide data architectures and models across multiple domains.
• Translate business requirements into scalable data models.
• Govern enterprise data models for quality and accessibility.
• Lead cloud-based analytics solutions using Snowflake and AWS services.
• Guide agile teams and mentor on best practices in data architecture.

Skills

English Fluent

Cloud Architecture

Data Modelling

Stakeholder Management

SAFe/Scrum

Data Governance

Big Data Ecosystems

Education

Master's in Computer Science / Information Management

Tools

Snowflake

PowerBI

SqlDbm

ER Studio

SAP PowerDesigner

AWS (Sagemaker, EMR)

Job description

Philip Morris International is seeking a Principal Enterprise Data Architect to design and deliver enterprise data models across Consumer, R&D and Product Quality domains. You will collaborate with business partners and IT stakeholders to ensure data requirements meet business outcomes, leveraging cloud-based analytics on a modern tech stack.

The role involves leading architecture workshops, aligning with SAFe/ Scrum, and mentoring teams while supporting global data transformation initiatives.