Salary
💰 $116,000 - $156,100 per year
Tech Stack
CloudETLPythonSQL
About the role
- Work side-by-side with Snowflake’s strategic life sciences customers and build trusted relationships with technical stakeholders
- Partner with sales, marketing, product management, industry principals, and channel partners to create compelling solution offerings
- Architect, build, and take solutions to market across life sciences sub-verticals and critical workloads
- Create life sciences specific technical selling assets: reference architectures, use case solution POVs, demos, customer case studies, and solutions
- Identify industry trends, technical requirements and technical gaps and partner with product management for prioritization
- Collaborate with Global and Regional System Integration partners to define Snowflake-centric offerings for the life sciences industry
- Enable AE and SE communities on industry trends, partner capabilities and solution offerings
- Contribute to industry marketing activities such as webinars, conferences, and blogs
- Provide RFP support, solution architecture reviews, and run Snowdays including bespoke solution/lab setups
Requirements
- 3+ years of architecture experience building, consulting to, and/or implementing technology for Life Sciences business units and / or Life Sciences Companies
- Understanding of life sciences data topics and overall challenges and opportunities impacting the Life Sciences industry
- Experience with technical and design direction including large-scale database and/or data warehouse technology, ETL, analytics and public cloud technologies
- Understanding of Data Science & Machine Learning concepts and applications in the Life Sciences industry
- Familiarity with key sources of enterprise data and technologies
- Presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Bachelor’s Degree required; Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
- The ability to travel to customer sites, industry events and other related events as required
- Knowledge of SQL and Python with hands-on experience required
- Successfully applied technology to solve business problems in the Life Sciences industry (preferred)