Cloud & Data Platform Architect
Core
Designing and governing secure, scalable cloud data platform foundations enabling analytics, AI, and digital solutions for life sciences functions.
Role type
Senior Cloud & Data Platform Architect
Builds
Secure, resilient, cost-efficient cloud data platforms and lakehouse architectures for downstream analytics and GenAI applications.
Domain
Life Sciences Technology / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform architecture, lakehouse design, data ingestion frameworks, DataOps practices, data quality frameworks, cost optimization, architectural governance, team mentorship, distributed engineering leadership.
Preferred skills
Regulated industry data ecosystems, syndicated pharma datasets, real-time streaming architectures, data governance tools, cloud platform certifications.
Technologies
Azure, AWS, ADLS, S3, Databricks, Snowflake, Kafka, ELT, CDC, CI/CD, Infrastructure-as-Code.
Responsibilities
Define cloud modernization architecture standards and security controls; Architect scalable lakehouse data platforms; Design ingestion and integration patterns; Establish enterprise-grade DataOps practices; Define data quality and lineage standards; Optimize platform performance and cost; Mentor data engineers and provide architectural oversight.
Seniority
Senior, hands-on IC with mentorship responsibilities
