Senior Enterprise Data Architect — Cloud & Analytics

Philip Morris International

Kraków

Hybrid

PLN 277,000 - 332,000

Full time

14 days+

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Benefits offered by this job

Company car or car allowance

Private medical and dental care

Hybrid model of work

Employee pension plan

Lunch card and Cafeteria program

Training and qualification support

Bike parking

Job summary

Philip Morris International seeks a Principal Enterprise Data Architect to design and deliver enterprise data models and analytics data products across Consumer, R&D and Product Quality domains. You will partner with business leaders, guide data architecture strategy, and ensure alignment with cloud-based platforms and metadata management.

The role spans global ERP systems and a cloud analytics platform, leveraging Matillion, Snowflake, AWS, and DBT.

Qualifications

Masters in Computer Sciences, Information Management, or any similar field requiring architecture and analytics.
Minimum 5-10 years of data architecture experience in a cloud-based environment delivering large scale technology projects in an international company and environment.
Good knowledge of Business Intelligence and Big Data ecosystems (S3, Scala, Spark).
Experience with Snowflake, PowerBI, and modeling tools (SqlDbm, SAP PowerDesigner, E/R studio, Erwin…).
Experience with Scrum methodology and/or following an agile approach of Self-starter with strong analytical and problem-solving skills from a business perspective, applying agile to large organizations through SAFe methodology.
Knowledge of data modeling tools and methodologies (Kimball, Inmon, Data Vault).
Design data analytics solutions from classic data warehousing data lake to big data solutions and hybrid platforms considering cloud and on prem.
Strong cloud technology background & knowledge of Data Architecture design principles.
Proven experience of leading workshops to identify design/architecture patterns and solid understanding of backend integration technologies.
Excellent stakeholder management skills with the ability to translate technical complexities into business-friendly language using both conceptual and logical thinking.
Strategic ability to relate the current technology and application landscape to the evolving business needs and identify the data architecture gaps.
Experience working with broader architecture community (Enterprise Architects, Solution Architects, AI and Analytics Architects).
Fluent in English.

Responsibilities

Design and maintain enterprise-wide data architecture frameworks, standards, and data models across Consumer, R&D, and Product Quality domains
Partner with business stakeholders to gather, analyze, and translate business requirements into scalable conceptual, logical, and physical data models
Define and govern enterprise data models to ensure consistency, quality, accessibility, and alignment with business objectives
Architect modern cloud-based analytics solutions leveraging Snowflake, AWS services, DBT, Matillion, and other data platform technologies
Lead data architecture workshops with business and IT teams to identify design patterns, integration requirements, and solution roadmaps
Collaborate with Enterprise Architects, Solution Architects, Data Engineers, and Analytics teams to ensure alignment with enterprise technology strategy
Evaluate existing data landscapes, identify architecture gaps, and recommend improvements that support evolving business needs and digital transformation initiatives
Guide agile delivery teams operating within Scrum and SAFe frameworks, ensuring architecture standards are incorporated into analytics and data product development
Provide technical leadership and mentorship on best practices