Senior Data Engineer - Cloud Pipelines & AI Enablement

Philip Morris International; Tampa (FL); Hybrid; USD 88,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) match

Wellness and commuter benefits

Pet insurance

Generous PTO

Hybrid work

Career development

Inclusive global culture

Job summary

Philip Morris International U.S. is seeking a seasoned Data Engineer to design, build, and optimize scalable data pipelines across the enterprise. You will leverage Snowflake, AWS, Azure, and Databricks to accelerate analytics, AI, and governance.

You will partner with data scientists and cross‑functional teams, automate QA and DevOps, and mentor engineers while ensuring data quality, privacy, and regulatory compliance.

Qualifications

• 4+ years of hands-on data engineering with SQL, Azure DB, ADF, Snowflake, AWS, Synapse, Matillion.
• ETL/ELT design, cloud data warehouse optimization, Python/Scala preferred.
• Databricks, Power BI, Atlan, Profisee preferred; MD/M governance and data quality knowledge.
• Automate QA, CI/CD, DevOps, FinOps, and security governance controls.
• Strong written/spoken communication; mentor engineers and partner with teams.

Responsibilities

• Design and maintain scalable, secure data architectures and pipelines.
• Build ETL/ELT processes for reliable data delivery across the enterprise.
• Collaborate with data scientists to operationalize AI/ML models.
• Automate governance, QA, and DevOps to improve reliability and scalability.
• Ensure data quality, privacy, and regulatory compliance across reports.

Skills

Data engineering

Leadership

Cloud data platforms

Education

Bachelor's degree in Computer Science, Information Systems, Engineering or related field

Tools

SQL

Azure Database

ADF

Snowflake

AWS

Synapse

Matillion

Databricks

Power BI

Atlan

Profisee

Job description

Philip Morris International U.S. is seeking a seasoned Data Engineer to design, build, and optimize scalable data pipelines across the enterprise. You will leverage Snowflake, AWS, Azure, and Databricks to accelerate analytics, AI, and governance.

You will partner with data scientists and cross‑functional teams, automate QA and DevOps, and mentor engineers while ensuring data quality, privacy, and regulatory compliance.