Manager, Data Engineer

Job Title: Manager, Data Engineering.

Location: Hyderabad, India

• Set the overall technical direction for data initiatives within the ADS digital ecosystem.
• Define and maintain architectural standards to ensure consistency and quality across data solutions.
• Deliver robust, scalable, and compliant data architectures that meet business and regulatory requirements.
• Collaborate closely with scientists, IT partners, and data science teams to align technical strategies and project goals.
• Ensure data pipelines and platforms produce reliable, reusable, and high‑quality data assets.
• Enable advanced analytics and modeling by ensuring data is accessible, well‑structured, and fit for purpose.

• Own and evolve the Azure-based data platform architecture leveraging ADLS, ADF, Microsoft Fabric, and Azure Synapse.
• Lead end-to-end platform development by defining scalable, secure, and performant data blueprints.
• Drive Infrastructure-as-Code (IaC) and automated deployments using Azure DevOps and CI/CD practices.
• Design and oversee complex data integration pipelines across ELN, LIMS, MES, and ERP systems using SnapLogic or equivalent iPaaS solutions.
• Enable downstream analytics and AI by partnering with data scientists to operationalize models using Azure Machine Learning.
• Establish and enforce data governance standards, including data quality, lineage, FAIR principles, and ALCOA+ compliance.
• Provide technical leadership, mentorship, and best-practice guidance to data engineering teams.

• Educational & Experience Background: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related field, with 7+ years of progressive experience in data engineering, data architecture, or platform engineering.
• Technical Expertise in Cloud & Data Platforms: Proven track record designing, delivering, and operating enterprise‑scale, cloud‑native data platforms, preferably within regulated industries such as life sciences, chemicals, manufacturing, or healthcare.
• Hands-On Azure & Data Engineering Skills: Deep practical expertise with Azure ADF, ADLS, Synapse, Azure ML, Microsoft Fabric, along with advanced Python and SQL skills for building scalable data pipelines; experience with data orchestration, API design, and ingestion patterns.
• DevOps & Integration Capabilities: Hands-on experience with CI/CD pipelines, Git version control, IaC tools (ARM, Bicep, Terraform), and familiarity with iPaaS platforms like SnapLogic or equivalent technologies.
• Data Governance & Compliance Knowledge: Strong understanding of data governance, data quality, metadata, lineage, and experience implementing platforms aligned with FAIR principles and compliant with ALCOA+ and GxP standards.
• Leadership & Collaboration: Demonstrated ability to lead and mentor data engineering teams, communicate complex concepts to cross-functional stakeholders, and work effectively in global, collaborative environments with a strategic, cloud‑native mindset.
• Preferred Certifications & Analytical Enablement: Experience enabling analytics through Power BI or similar BI tools, along with preferred certifications such as Azure Solutions Architect (AZ‑305), Azure Data Engineer (DP‑203), and DevOps Engineer Expert (AZ‑400).

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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.