Sr. Data Engineer
About The Position
Sr. Data Engineer - Tampa, FL Be a part of a revolutionary change! At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress. Your ‘day to day’: We are seeking a highly skilled and innovative Sr. Data Engineer within Data Services team. This role combines hands-on technical expertise with leadership responsibilities to deliver high-quality data assets, products, and services to accelerate fit for purpose data availability for insights activation. The ideal candidate will have deep technical acumen, experience handling structured and unstructured data, and a strong understanding of agile principles and automation practices across QA, DevOps, and security governance.
Requirements
- Legally authorized to work in the U.S.
- Commutable distance to Tampa, FL.
- 5+ years experience with the DPAAS tech stack: Snowflake, AWS, Azure, Matillion.
- Expertise in data pipeline development, ETL/ELT processes, and cloud-based data warehouse optimization.
- Familiarity with programming languages such as SQL, Python, and Scala.
- Proven experience managing and mentoring teams in data engineering or related fields.
- Demonstrated expertise in automating QA processes, DevOps pipelines, FinOps and security governance practices.
Nice To Haves
- Working experience using tools like Atlan, Profisee for MDM, Power BI, and Databricks preferred
- Knowledge of data mesh principles and implementing distributed data architecture.
Responsibilities
- Design, develop, and implement scalable and secure data architectures and pipelines using the DPAAS tech stack (Snowflake, AWS, Azure, Matillion, Atlan, Profisee, Power BI, and Databricks).
- Drive automation in QA, DevOps, and security governance to enhance platform reliability, security, and operational efficiency.
- Lead and mentor a team of data engineers and architects, fostering a culture of technical excellence and continuous learning.
- Translate business requirements into technical designs, ensuring alignment with business goals and platform capabilities including structured and unstructured data.
- Implement best practices in Data Engineering, performance optimization, and reliability of data pipelines
- Work with data scientists to operationalize AI/ML models and integrate them into production-ready data pipelines.
- Develop and monitor data quality metrics and ensure business data and reporting needs are met ensuring data privacy and compliance with relevant regulations.
Benefits
- We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
- We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
