Associate Director, Data Platform And Solution Engineering

BeOne Medicines Ltd

Remote
$143,700.00 - $193,700.00 annually; bonus/equity: ...
Databricks solution technologies
Cloud data architectures
Big data processing
Join BeOne's Global Data Strategy and Solutions team to build and scale a cutting-edge and fully integrated Enterprise Data and Analytics Platform that accelerates our journey from Data to Insights and deployment of AI applications

Job Summary

  • Join BeOne's Global Data Strategy and Solutions team to build and scale a cutting-edge and fully integrated Enterprise Data and Analytics Platform that accelerates our journey from Data to Insights and deployment of AI applications.
  • The AD Platform and Solution Engineering must be an expert in Databricks solution technologies to design a scalable, high-performance data solutions that empower our organization to ingest and curate data and build data products at scale.
  • The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.

Matching Summary

Join BeOne's Global Data Strategy and Solutions team to build and scale a cutting-edge and fully integrated Enterprise Data and Analytics Platform that accelerates our journey from Data to Insights and deployment of AI applications.

Salary

$143,700.00 - $193,700.00 annually; Bonus/Equity: Eligible for annual bonus plan and equity awards; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Databricks solution technologies
  • cloud data architectures
  • big data processing
  • real-time analytics
  • Apache Spark
  • Unity Catalog technology
  • Python
  • SQL

Nice-to-have

  • scientific and business professionals
  • highly motivated
  • collaborative
  • passionate interest in fighting cancer
  • machine learning
  • AI frameworks
  • data visualization tools

Key Requirements

  • 8+ years in data architecture
  • 8+ years in solution engineering
  • Bachelor’s Degree in Information Technology
  • experience with APIs
  • DevOps methodologies
  • CI/CD processes
  • data warehousing solutions
  • delta lakes
  • ETL/ELT processes
  • cloud environments (AWS, Azure)
  • data governance practices
  • Life Sciences data experience

Work Rights

Not specified

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