System Architect
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Role details
Tech stack
+15 more
Requirements
Provide technical governance for critical programs. Drive the adoption of modern data platforms, including Lakehouse architectures for large-scale clinical and commercial data sets.Innovation & GenAI: Spearhead the development of GenAI assets (e.g., agentic workflows for R&D/IT) and Proof-of-Concepts (POCs) tailored to Life Sciences workflows.Stakeholder Management: Partner with C-suite and senior stakeholders to align technical roadmaps with enterprise goals, ensuring compliance and data reusability across global research and commercial organizations.Technical Enablement: Establish best practices for the Life Sciences Center of Excellence (COE), mentor technical teams, and perform rigorous code reviews. Technical ExpertiseExperience: 20+ years of experience across architecture, application development, and big data analytics, with significant tenure in the Life Sciences industry.Domain Expertise: Proven track record in Life Sciences, specifically in Clinical Data, R&D, and Commercial Analytics. Deep understanding of the data challenges inherent in the Life Sciences value chain.Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns.Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA, S3), Azure, Airflow, Terraform, Docker, Kubernetes, and Jenkins.Programming: Advanced skills in Python, SQL, Scala, Java, and Shell Scripting. Leadership CompetenciesStrategic Advisory: Proven ability to lead post-technical win strategies and define long-term platform adoption roadmaps for enterprise-level Life Sciences programs.Delivery Ownership: End-to-end accountability for complex architectural solutions, ensuring successful production go-lives in regulated environments.Technical Enthusiasm: A continuous learner, proactive in navigating new product innovations and bridging the gap between Life Sciences business priorities and engineering feasibility.Work Experience 1530yearsJob SummaryJob number: P-101329Profession: OtherExperience: 1530years
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