Data Architect

Data Architect - Tampa, FL

At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal-age adults who still smoke with better alternatives.

Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.

That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.

About the Role:

We are seeking a highly skilled and innovative Data Architect to join our Data Services team. This role blends hands-on technical depth with strategic architecture ownership - designing and governing the data blueprints that power our enterprise data platform, analytics, and AI/ML initiatives.

The ideal candidate is not just a builder but a decision-maker: someone who defines modeling standards, selects technologies, shapes governance frameworks, and ensures our data architecture is scalable, secure, and AI-ready. You will own the architecture blueprint that every downstream team depends on.

Your Day to Day:

Data Architecture & Modeling

• Design and maintain conceptual, logical, and physical data models (CDM/LDM/PDM) for enterprise data platform assets, ensuring alignment with business requirements and optimization for performance, scalability, and reuse.
• Define and enforce data modeling standards, naming conventions, and design patterns across the organization.
• Design database schemas, tables, views, indexes, and other database objects to support analytical and operational workloads.

Data Integration & Platform Architecture

• Collaborate with solution architects and data engineers to architect a robust, modern data platform supporting data integration, data quality, and data governance across cloud and hybrid environments.
• Define data flow diagrams, integration patterns, and orchestration strategies to ensure efficient and governed data movement between upstream and downstream systems.
• Work with data engineers to integrate data from multiple sources (structured and unstructured), ensuring consistency, quality, and lineage across the data ecosystem.

AI/ML & Advanced Analytics Enablement

• Partner with data scientists and AI/ML engineers to design data architectures that support AI/ML model development, training, and deployment - ensuring seamless integration into data pipelines.
• Architect AI-ready data frameworks that enable Business Intelligence (BI), machine learning, and generative AI use cases, including RAG patterns and LLM-powered applications.
• Implement explainable AI (XAI) principles to ensure transparency and trust in machine learning model outputs.

Governance, Documentation & Compliance

• Establish and enforce data governance standards, including data classification, PII handling, data lineage, access control, and metadata management.
• Create and maintain comprehensive documentation including data dictionaries, entity-relationship diagrams (ERDs), metadata catalogs, and architecture decision records.
• Ensure data models and architecture comply with data privacy regulations and organizational data governance policies.

Performance & Continuous Improvement

• Monitor and optimize the performance of data models and database queries to ensure efficient data retrieval and processing at scale.
• Evaluate emerging technologies and architecture patterns (e.g., lakehouse, data mesh, data fabric) and make recommendations aligned with organizational strategy.
• Foster a culture of continuous learning and technical excellence within the team; mentor and guide data engineers and junior architects.

Who we're looking for:

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (Master's preferred).
• 7+ years of experience in data architecture and data modeling, including designing conceptual, logical, and physical data models across multiple functional domains (e.g., Sales, Finance, Supply Chain, Marketing).
• Strong proficiency in SQL and hands-on experience with modern cloud data platforms - specifically Snowflake and/or Databricks (Lakehouse architecture).
• Experience with ETL/ELT tools and frameworks (e.g., Matillion, dbt, Informatica, or similar) and data warehousing best practices.
• Proficiency in data modeling tools such as Power Designer, ER/Studio, ERwin, or similar.
• Working knowledge of Python for data processing, automation, or ML integration.
• Experience with AI/ML libraries and platforms (e.g., Tensor Flow, PyTorch, Scikit-learn, Databricks ML, or AWS Sage Maker) for supporting large-scale ML workloads.
• Solid understanding of data…