India, Hyderabad
Job Title: Principal Data Engineer (Analytics, Integration & MLOps)
Location: Hyderabad, India
Role
We're looking for a Principal Data Engineer to design, build, and evolve the Azurebased data platform that powers the Advanced Synthesis (ADS) digital ecosystem. In this senior, handson 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. You will partner closely with scientists, IT, and data science teams to operationalize analytics and ML, ensuring data is reliable, reusable, and ready for advanced modeling. What you will get:
- Impact at scale: Shape the digital backbone for ADS by defining and evolving enterprisegrade, cloudnative data platforms that accelerate innovation and decisionmaking.
- Technical ownership: Lead architecture and standards (Azure ADF, ADLS, Synapse, Microsoft Fabric, Azure ML) to ensure quality, consistency, and performance across solutions.
- Bestpractice environment: Work with modern DevOps (Azure DevOps, Git), CI/CD, and InfrastructureasCode to enable reliable, automated delivery.
- Crossfunctional 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 endtoend integration pipelines: Design and oversee complex, enterprisescale 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, Gitbased 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 bestpractice guidance to engineers, elevating engineering standards and delivery excellence.
What we are looking for:
- Education & Experience: Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field; 7+ years in data engineering/architecture/platform engineering.
- Cloudnative track record: Proven experience designing, delivering, and operating enterprisescale Azure data platforms; regulated industry exposure (life sciences, chemicals, manufacturing, healthcare) is a plus.
- Azure & data engineering depth: Handson with ADF, ADLS, Synapse, Azure ML, Microsoft Fabric; advanced Python & SQL; orchestration frameworks, API design, and ingestion patterns.
- DevOps & integration: CI/CD, Git, IaC (ARM/Bicep/Terraform); familiarity with iPaaS (e.g., SnapLogic or equivalent) for largescale data integrations.
- Analytics enablement: Experience enabling consumption via Power BI or similar BI tools; building reusable data products and APIs.
- Governance & compliance: Strong grounding in data quality, metadata, lineage; implementation aligned to FAIR, ALCOA+, and GxP where required.
- Leadership & collaboration: Demonstrated team leadership/mentorship; effective communicator across business, scientific, and IT stakeholders; comfortable in global, crossfunctional setting
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you're ready to help turn our customers breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences Apply now.
Reference: R73044
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R73043