Industry Architect, Life Sciences

Job not on LinkedIn

September 22

🌲 North Carolina – Remote

Although this job is listed in North Carolina, this company may be open to hiring remote in other states.

💵 $116k - $156.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

🦅 H1B Visa Sponsor

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Snowflake

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Cloud Computing • Data Analytics • SaaS

Snowflake is a cloud-based data-warehousing company that provides a platform for data storage, processing, and analytics. It allows businesses to store data in a centralized location and perform complex queries and analytics on that data efficiently. Snowflake is designed to handle a wide range of data workloads and can scale dynamically to meet the needs of growing businesses.

5001 - 10000 employees

Founded 2012

☁️ SaaS

📋 Description

• 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)