TetraScience
Scientific Data Architect(m/w/x)
Full-timeWith HomeofficeExperienced
Basel
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TETetraScience
Senior PreSales Solutions Architect(m/w/x)
Basel
Full-timeWith Home OfficeSenior
Nejo AI Summary
Designing AI-native data sets for lab data management and AI outcomes. Scientific background and 5+ years technical architecture experience required. Equity and generous PTO.
Requirements
- Scientific background (academic or 5+ years professional experience in Life Sciences)
- Senior Technical Architecture experience (5+ years)
- Commercial tech sales support experience
- R&D IT OR Data & Informatics experience
- Data Modeling (logical, physical, conceptual)
- Python scripting proficiency
- Cloud RDBMS (e.g., Snowflake) proficiency
- NoSQL databases (e.g., Redshift, Databricks) proficiency
- Familiarity with Spark
- Familiarity with data warehousing solutions
- AWS data services experience
- Azure experience
- Google Cloud experience
- Data Governance understanding
- Data Quality understanding
- Familiarity with Tableau
- Familiarity with Power BI
- Familiarity with QlikView
Tasks
- Serve as the primary technical point of contact for strategic accounts
- Manage customer lifecycle engagement and adoption acceleration
- Oversee technical health and risk management
- Develop strategic plans and manage stakeholders across teams
- Provide sales enablement and growth support
- Build deep and wide technical and science relationships
- Understand customer scientific data and AI architecture and goals
- Offer proactive, prescriptive technical guidance
- Act as a trusted advisor aligned to customer outcomes
- Drive adoption and success plan execution
- Conduct regular technical reviews
- Identify risks and recommend optimizations
- Lead technical strategy for expansions
- Support Proofs of Concept (POCs) and co-innovation
- Manage resolution for escalated issues
- Accelerate time to value for customers
- Improve stability and uptime
- Align with strategic roadmaps
- Provide prioritized support and faster resolutions
- Achieve higher ROI through continuous optimization
- Support growth through hands-on sessions and enablement presentations
- Showcase tailored demonstrations to prospects
- Map business requirements to technical solutions
- Determine potential return on investment for solutions
- Cultivate relationships with clients and teams
- Collaborate with science and technology partners
- Negotiate beneficial agreements with clients and sales teams
- Develop deep product knowledge
- Design and showcase tailored demonstrations
- Contribute to RFPs/RFIs with technical specifications
- Manage project timelines and scope
- Coordinate with stakeholders for presales activities
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Snowflake
- Redshift
- Databricks
- Spark
- AWS
- Azure
- Google Cloud
- Tableau
- Power BI
- QlikView
Benefits
Competitive Pay
- Equity
Informal Culture
- Supportive, team-oriented culture
More Vacation Days
- Generous paid time off (PTO)
Flexible Working
- Remote work
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TetraScience and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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TETetraScience
Senior PreSales Solutions Architect(m/w/x)
Basel
Full-timeWith Home OfficeSenior
Nejo AI Summary
Designing AI-native data sets for lab data management and AI outcomes. Scientific background and 5+ years technical architecture experience required. Equity and generous PTO.
Requirements
- Scientific background (academic or 5+ years professional experience in Life Sciences)
- Senior Technical Architecture experience (5+ years)
- Commercial tech sales support experience
- R&D IT OR Data & Informatics experience
- Data Modeling (logical, physical, conceptual)
- Python scripting proficiency
- Cloud RDBMS (e.g., Snowflake) proficiency
- NoSQL databases (e.g., Redshift, Databricks) proficiency
- Familiarity with Spark
- Familiarity with data warehousing solutions
- AWS data services experience
- Azure experience
- Google Cloud experience
- Data Governance understanding
- Data Quality understanding
- Familiarity with Tableau
- Familiarity with Power BI
- Familiarity with QlikView
Tasks
- Serve as the primary technical point of contact for strategic accounts
- Manage customer lifecycle engagement and adoption acceleration
- Oversee technical health and risk management
- Develop strategic plans and manage stakeholders across teams
- Provide sales enablement and growth support
- Build deep and wide technical and science relationships
- Understand customer scientific data and AI architecture and goals
- Offer proactive, prescriptive technical guidance
- Act as a trusted advisor aligned to customer outcomes
- Drive adoption and success plan execution
- Conduct regular technical reviews
- Identify risks and recommend optimizations
- Lead technical strategy for expansions
- Support Proofs of Concept (POCs) and co-innovation
- Manage resolution for escalated issues
- Accelerate time to value for customers
- Improve stability and uptime
- Align with strategic roadmaps
- Provide prioritized support and faster resolutions
- Achieve higher ROI through continuous optimization
- Support growth through hands-on sessions and enablement presentations
- Showcase tailored demonstrations to prospects
- Map business requirements to technical solutions
- Determine potential return on investment for solutions
- Cultivate relationships with clients and teams
- Collaborate with science and technology partners
- Negotiate beneficial agreements with clients and sales teams
- Develop deep product knowledge
- Design and showcase tailored demonstrations
- Contribute to RFPs/RFIs with technical specifications
- Manage project timelines and scope
- Coordinate with stakeholders for presales activities
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Snowflake
- Redshift
- Databricks
- Spark
- AWS
- Azure
- Google Cloud
- Tableau
- Power BI
- QlikView
Benefits
Competitive Pay
- Equity
Informal Culture
- Supportive, team-oriented culture
More Vacation Days
- Generous paid time off (PTO)
Flexible Working
- Remote work
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of TetraScience and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
TetraScience
Industry
Science
Description
TetraScience is the Scientific Data and AI company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets for lab data management solutions and AI-enabled outcomes.
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