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Novartis

Associate Director, Cloud Data Platform Architecture

Novartis

. Lead the architecture and design of cloud data platform capabilities supporting Drug Development use cases .

Posted 11/10/2026full-timeBarcelona • SpainSenior💰 €63,800 - €118,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in architecting enterprise-scale, multi-tenant cloud data platforms, with a strong focus on Databricks and AWS solutions. Capable of translating business priorities into scalable architecture and delivery plans while ensuring compliance with GxP and security standards.

Highest-signal resume keywords
Cloud Data Platform ArchitectureDatabricks LakehouseAWS Cloud SolutionsStakeholder ManagementData Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Architecture DesignMulti-Tenant Cloud PlatformsETL Pipeline OrchestrationPySparkSQLSpark Structured StreamingKafkaDatabricks SQLDelta LakeUnity Catalog
Soft Skills
CollaborationTechnical DirectionCoachingProblem SolvingStakeholder Engagement
Tools & Technologies
AWS LambdaAmazon API GatewayCollibraImmutaData Mesh Architecture
Industry Keywords
Life SciencesPharmaceuticalDrug DevelopmentGxP ComplianceData Governance

Tech Stack

Tools & technologies
AWSCloudETLKafkaPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact
  • Lead the architecture and design of cloud data platform capabilities supporting Drug Development use cases
  • Review and approve architecture and technical designs with oversight from the Platform Architecture Director
  • Define technology strategy, architecture standards and reusable platform patterns
  • Guide evolution of the existing multi-tenant cloud data mesh platform
  • Support delivery of new capabilities, enhancements and self-service interfaces
  • Partner with Domain IT, Platform Engineering, Data Management, Governance and external vendors
  • Prioritise capability backlogs, shape delivery roadmaps and coordinate MVP delivery with engineering teams
  • Lead technology evaluations, technical spikes and proofs of concept
  • Provide technical direction to project delivery vendors implementing prototypes and review outcomes against architectural requirements
  • Oversee multiple capability delivery streams and help 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
  • Build a strong understanding of the platform and its capabilities during the first 6–12 months
  • Provide architectural guidance to platform tenants and support architects and engineers in enhancing existing capabilities and delivering new ones

Requirements

What you’ll need
  • 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 environments
  • Experience providing technical direction to architects and engineers on large-scale initiatives delivered with external vendors
  • Experience within pharmaceutical, life sciences or drug development environments would be beneficial but is not essential
  • Familiarity with data mesh architecture and platform engineering operating models would be beneficial but is not essential
  • Experience defining reference architectures, standards and reusable design patterns would be beneficial but is not essential
  • Experience working with vendor architects and assessing delivery performance against SLAs would be beneficial but is not essential
  • Experience integrating data platforms with technologies such as Collibra and Immuta would be beneficial but is not essential
  • Understanding of Open Data Product/Contract Specifications would be beneficial but is not essential
  • Experience developing generative AI capabilities using structured and unstructured data would be beneficial but is not essential

Benefits

Comp & perks
  • Performance-based bonus may be available
  • Insurance plans
  • Retirement plans
  • Wellbeing resources
  • Global recognition programs
  • Flexible and hybrid working options where possible
  • Paid parental leave