Principal Data Engineer - Commercial Effectiveness
Core
Design, build, and operate robust, scalable data solutions enabling analytics and AI use cases across Commercial Effectiveness, Supply Chain, Innovation, and Corporate Functions domains.
Role type
Principal Data Engineer (Manager/Hands-on IC)
Builds
Reusable, scalable data assets and data foundations for enterprise analytics and AI consumption.
Domain
Healthcare consumer goods / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data modeling, ETL processes, compute and storage optimization, CI/CD, IaC, data quality controls, security and governance, architecture patterns, mentoring
Preferred skills
GxP-regulated technology experience, Agile Product Management (Scrum/SAFe), Big Data platforms (Spark), Cloud platforms (Azure/GCP), Distributed compute (Databricks), Streaming architectures (Kafka), Cloud storage (ADLS/Blob), Data warehousing (Synapse)
Technologies
Azure, GCP, Databricks, Apache Spark, Kafka, Azure Event Hubs, Azure Data Lake Storage, Azure Synapse Analytics
Responsibilities
Lead and develop a high-performing data engineering team; Provide hands-on technical leadership for complex engineering problems; Own delivery across assigned Value Pools managing prioritization and dependencies; Drive adoption of engineering standards and automation; Embed data quality, security, and governance into solutions; Collaborate with architects and data scientists to translate requirements into production-ready assets; Evaluate and introduce new data engineering technologies.
Seniority
Principal, hands-on IC with management responsibilities
