# Associate Director, Cloud Data Platform Architecture at Novartis

Novartis is hiring an Associate Director, Cloud Data Platform Architecture. It pays €64k-€118k a year and Level rates it Works on AI ●●●○; you can [apply on Novartis](https://jobsbylevel.com/go/cbc1d032-a0a4-4cc8-a9b2-d4aa267ed79f?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Barcelona Gran Vía.

## Details

- Company: [Novartis](https://jobsbylevel.com/companies/novartis)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Barcelona Gran Vía
- Salary: €64k-€118k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/cbc1d032-a0a4-4cc8-a9b2-d4aa267ed79f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=associate-director-cloud-data-platform-architecture-at-novartis-7b287d

## Prepare for this job

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## Description

Salary Range: €63,800.00 - €118,400.00 Job Description Summary Location: Barcelona, Spain #LI-Hybrid Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support for this position. Please only apply if the location is accessible to you. About the role As Associate Director, Cloud Data Platform Architecture, you will define the technology strategy and architecture for cloud data platforms supporting the Novartis Drug Development portfolio. You will guide the delivery of secure, compliant, scalable and reusable platform capabilities supporting a wide range of data and AI use cases. A key focus will be evolving an established, multi-tenant cloud data mesh platform already operating in production. You will lead the architecture of new AI capabilities and enhancements to existing capabilities, improving the platform's self-service experience while maintaining robust data governance, GxP compliance and protection of highly sensitive data. You will bring deep technical expertise in cloud data platforms and work closely with internal teams and external partners to shape architecture, technology strategy and delivery direction. Job Description Key responsibilities Lead the architecture and design of cloud data platform capabilities supporting Drug Development use cases, reviewing and approving architecture and technical designs with oversight from the Platform Architecture Director. Define technology strategy, architecture standards and reusable platform patterns. Guide the evolution of the existing multi-tenant cloud data mesh platform, supporting the delivery of new capabilities and enhancements to existing functionality and self-service interfaces. Partner with Domain IT, Platform Engineering, Data Management, Governance and external vendors to align platform capabilities with business priorities. Prioritise capability backlogs, shape delivery roadmaps and coordinate MVP delivery with engineering teams. Lead technology evaluations, technical spikes and proofs of concept to inform platform decisions. Provide technical direction to project delivery vendors implementing prototypes and review outcomes against architectural requirements. Oversee multiple capability delivery streams, helping to identify and resolve technical and organisational blockers. Ensure adherence to security, compliance, GxP, quality and enterprise architecture standards. Provide technical direction and coaching to vendor architects, fostering innovation, collaboration and continuous improvement. Your first 6–12 months You will build a strong understanding of the platform and its capabilities, enabling you to provide timely architectural guidance to platform tenants and support architects and engineers in enhancing existing capabilities and delivering new ones. Essential requirements Degree in Information Technology, Life Sciences, Pharmacy, Engineering or equivalent relevant experience. Extensive relevant architecture experience, including proven experience architecting enterprise-scale, multi-tenant cloud data platforms involving multiple stakeholders. Ability to translate business priorities into scalable architecture, roadmaps and delivery plans. Strong stakeholder management and collaboration skills across IT, engineering, governance and business functions. Recent hands-on experience architecting Databricks and AWS cloud data platform solutions and building prototypes, including incremental ETL and pipeline orchestration. Strong technical experience with Databricks Lakehouse , including Delta Lake, Unity Catalog, Lakeflow/DLT, Workflows, Databricks SQL and Asset Bundles. Experience with PySpark/Python, SQL, Spark Structured Streaming, Kafka, Amazon API Gateway and AWS Lambda . Strong understanding of data platform capabilities, including ingestion, data product development, consumption, observability, governance and compliance. Experience designing platforms for regulated, GxP or highly sensitive data

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