Lead Data Platform Architect

Vir Biotechnology, Inc.
San Francisco, CA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Airflow Amazon Web Services Bioinformatics Databases Data Architecture Information Engineering Data Governance Data Infrastructure Python (Programming Language) Machine Learning Object-Oriented Software Development
+18 more
Open Source Technology Tableau (Software) Pinecone Large Language Models Git Build Management Data Lakes Core Data Kubernetes Information Technology Data Analytics Milvus Data Management Machine Learning Operations Spotfire Data Pipelines Docker Jenkins

Job description

The Data Science and Operations (DSO) group is looking for a Lead Data Platform Architect to join the Data Engineering team in San Francisco. You will report to the Senior Director of Data Engineering and will collaborate with multiple departments across Vir. You will build data platforms and analytical capabilities to enhance business operations throughout the organization.

DSO is made up of engineers, bioinformaticians, genome analysts, and machine learning specialists building data infrastructure, pipelines, and data analytics across Vir.

This is an onsite role and you will work a few days each week from our HQ in San Francisco., * Help design core data platforms to allow the building of bioinformatics pipelines, machine learning models, data science applications and custom applications and dashboards.

  • Participate as a member of the VIR data architecture forum group.
  • Evaluate and select AWS technologies including data governance technologies to support building an enterprise healthcare data lake.
  • Develop a scalable and reliable infrastructure that supports bioinformatics pipelines and machine learning model deployment.
  • Be a liaison between IT, Machine Learning, Bioinformatics and the Data Engineering Team
  • Review and enhance documentation and the Vir knowledgebase.

Requirements

  • 12+ years development experience in Python or similar object-oriented languages.
  • 5+ years of experience as a full stack developer.
  • Experience as lead or principal data engineer.
  • Deep experience with AWS technologies, APIs, MLOps.
  • Build data lakes using AWS or similar technologies.
  • Design and build data processing pipelines using Next flow, Airflow, or similar technologies.
  • Enterprise data governance, the machine learning lifecycle and LLMs and their use.
  • Code/Build/Deployment: GIT, Docker, Jenkins, Kubernetes.
  • Scientific pipelines, i.e. Bioinformatics (genomic processing) pipelines, on AWS or other cloud vendors.
  • Executive level dashboard using Tableau or Spotfire.
  • Database experience, i.e. opensource vector databases like Milvus, Pinecone.
  • Relevant certifications would include AWS Certified Data Analytics or AWS Certified Machine Learning.
  • BS in Computer Science or related discipline, or equivalent industry experience.

Benefits & conditions

The expected salary range for this position is $168,500.00 to $246,500.00. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors.

Vir’s compensation and benefits are aligned with the current market and commensurate with your experience and qualifications. All full-time employees receive a package that includes: compensation, bonus and equity and many other Vir benefits and perks such as: health, dental, vision, life and disability insurance benefits, non-accrual paid time off, company shut down for holidays, commuter benefits, child care reimbursement, education reimbursement, 401K match and lunch for all onsite employees!

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