Principal Data Engineer

About the job

We’re looking for a Principal Data Engineer to design, build, and evolve the Azure‑based data platform that powers the Advanced Synthesis (ADS) digital ecosystem. In this senior, hands‑on leadership role, you’ll set technical direction, define architectural standards, and deliver robust, compliant, and scalable data solutions that connect scientific, analytical, and operational data. What you will get: • Impact at scale: Shape the digital backbone for ADS by defining and evolving enterprise‑grade, cloud‑native data platforms that accelerate innovation and decision‑making. • Technical ownership: Lead architecture and standards (Azure ADF, ADLS, Synapse, Microsoft Fabric, Azure ML) to ensure quality, consistency, and performance across solutions. • Best‑practice environment: Work with modern DevOps (Azure DevOps, Git), CI/CD, and Infrastructure‑as‑Code to enable reliable, automated delivery. • Cross‑functional collaboration: Partner with scientists, IT partners, and data science teams to align on technical strategy and solution design that are fit for purpose and compliant. What you will do: • Own the Azure data platform architecture: Define scalable, secure, and performant designs leveraging ADLS, ADF, Synapse, Microsoft Fabric, and associated patterns. • Deliver end‑to‑end integration pipelines: Design and oversee complex, enterprise‑scale integrations across ELN, LIMS, MES, ERP and external systems using iPaaS (e.g., SnapLogic) and APIs. • Operationalize machine learning (MLOps): Deploy and maintain ML models in production with Azure ML, implementing automation, monitoring, and retraining workflows. • Industrialize data engineering: Build robust, reusable pipelines in Python/SQL; establish orchestration, data ingestion patterns, and API designs for data products. • Implement DevOps & IaC: Champion CI/CD, Git‑based workflows, and ARM/Bicep/Terraform for repeatable, compliant, and auditable deployments. • Govern data with rigor: Enforce data quality, metadata, lineage, and align platforms with FAIR principles and ALCOA+ / GxP standards where applicable. • Lead & mentor: Provide technical leadership, coaching, and best‑practice guidance to engineers, elevating engineering standards and delivery excellence.

Requirements

• Azure ADF
• ADLS
• Synapse
• Python
• SQL

Qualifications

• Bachelor's Degree
• Master's Degree in relevant field

Preferred Technologies

• Azure ADF
• ADLS
• Synapse
• Python
• SQL

About the company

Lonza is a global leader in life sciences, dedicated to innovation in pharmaceuticals and biotech, manufacturing the medicines of tomorrow with a commitment to collaboration and excellence.