Scientific Data Architect

We are looking for Senior Data Architects to work with intelligent solutions allowing our customers to accelerate discovery, obtain clinical insights, and answer R&D questions. Project goal: Onboarding of approximately 50 laboratory instruments onto the TetraScience Data Platform Development of instrument parsers as required Design and development of data pipelines to support data flow and accessibility Provide solution guidance to the Systems Integrations team on Integration solution guidance between TetraScience and Revvity ELN Activities Performed: User Story creation & refinement, Raw-to-IDS, metadata attribution, instrument onboarding, parser development, testing, etc.. Note that this does not include integrations of system with ELN, NNCD, Inventory management, etc

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

  • Plan the most suitable solution design, partially design data solution architecture 
  • Design data engineering solutions, write high-quality documentation related to every project in each phase (POC, data discovery documentation, project implementation documentation) 
  • Design the ETL/ELT strategy, including batch, streaming 
  • Create data pipeline mappings 
  • Lead the overall discovery process related to data architecture for more than one project at a time 
  • Create high-level data architecture and explain every part of it for more than one project at a time 
  • Conduct overall data architecture implementation coordination and control for more than one project 
  • Be ready to implement some parts of the project 
 

What we expect:

  • Innovation: The candidate is expected to be at the forefront of innovation in their field. You should be able to identify new technologies and trends and to evaluate their potential impact on the business 
  • Strategic leadership: Experience developing and executing data strategies at the organizational level 
  • Knowledge of cloud platforms, such as AWS 
  • Experience in SQL 
  • Experience in Python 
  • Experience in ETL/ELT, Data/Delta Lakes, DWH 
  • Solid expertise in Spark 
  • Experience in AWS data services 
  • Upper-Intermediate English or higher (B2+) 
  • Analytical and problem-solving skills 
  • Life Science domain expertise. 

We offer:

  • Competitive compensation
  • Fully remote work
  • Flexible working hours
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
  • Certifications paid by the company
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If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!
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