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Pre- Sales Solution Architect

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Entrust Resource Solutions
Full Time position
Listed on 2025-12-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Scientist, Cloud Computing
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior Pre Sales Solution Architect

My client is looking for a Senior Pre Sales Solution Architect to be the key technical partner for their strategic pharma and biotech customers.

You’ll sit at the intersection of science, data, and commercial teams
, helping R&D organisations design and scale data & AI solutions that actually get used – and deliver measurable value.

What You’ll Do
  • Act as the primary technical point of contact for strategic Life Sciences accounts
  • Understand each customer’s scientific data, AI architecture, and roadmap
  • Translate business goals into scalable technical architectures and implementation plans
  • Lead lifecycle engagement from presales through delivery and ongoing optimisation
  • Run technical reviews
    , spot risks early, and recommend improvements
  • Support expansions, POCs, and co-innovation with Sales and Product
  • Deliver tailored demos and enablement sessions to scientists, R&D IT, and leadership
  • Work with partners such as Databricks, AWS, Google Cloud, Azure to maximise value
Impact for customers
  • Better stability, uptime, and scalability
  • Roadmap alignment and prioritised support
What You Bring Background
  • Scientific background and 5+ years’ experience in Life Sciences (pharma, biotech, CRO, etc.)
  • 5+ years as a Senior Technical / Solutions / Data Architect/ Field Applications Specialist
  • Experience with R&D IT, Data & Informatics
    , or scientific data platforms
Technical
  • Python and cloud databases:
    Snowflake
    , Redshift, Databricks, No

    SQL
  • Big data / lakehouse tools (e.g. Spark)
  • Data governance & quality (lineage, metadata, data quality processes)
  • Analytics & BI
    :
    Tableau, Power BI, Qlik View and their backend needs
Commercial & Soft Skills
  • Comfortable with senior scientific and technical stakeholders
  • Strong at solution mapping
    , value/ROI framing, and negotiation
  • Clear communicator, confident presenter, strong relationship builder
Interested?

Apply via Linked In or send your CV/profile with a brief note on your Life Sciences data & architecture experience

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Sales and Science
Industries
  • Biotechnology Research, Pharmaceutical Manufacturing, and Research Services
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