Principal Architect - Professional Services

TetraScience is the Scientific Data Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

• Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.

• Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.

• Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.

• Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.

• Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.

• Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age. We seek out those who embody our common values but bring unique and invaluable perspectives, talents and advantages.

What You Will Do

You will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. As a Principal Architect, you will work to understand scientists' and R&D needs, analyze their data environment, assist in the design and implementation of our solutions, and aid in integration with clients' data systems. This is a customer-facing, customer-centric role and requires deep understanding of data management with experience building, architecting, designing, and implementing highly distributed global cloud-based systems. You will leverage AWS services to architect and develop containerized and/or serverless SaaS/PaaS solutions.

• Architecture, design, and development of robust, scalable, and secure cloud-based solutions.
• Collaborate effectively with External Stakeholders, Project Managers, Product Managers, Solutions Architects, Data Engineers, Customer Success, Data Architects and Engineering.
• Define Scientific use cases, creating a Data Architecture to develop a solution using the Tetra Data Platform, working with lab scientists and lab managers (or R&D IT with lab data responsibilities).
• Help the customer implement by managing change management, while collecting feedback for potential improvements.
• Explain Data Architecture concepts to non-technical people, express the value-add propositions in business terms.
• Analyze complex data problems and design elegant frameworks which are cohesive, performant, secure, scalable, extensible, and not overly architected.
• Produce and maintain architectural documentation and lead Data Architecture standards evolution

Requirements

What You’ve Done

• Experience building, architecting, designing, and implementing highly distributed global cloud-based systems.
• Leverage AWS services to architect and develop containerized and/or serverless SaaS solutions.
• Experience with structured Enterprise Architecture practices, hybrid cloud deployments, and on-premises-to-cloud migration deployments and roadmaps.
• At least five years of experience with software development with OOP languages (Python/Node.JS/Typescript preferred)
• A deep understanding of the benefits of the Microservice and serverless paradigms.
• Experience leveraging program interfaces, including APIs or SDKs.
• Professional experience in Life Sciences R&D/IT or Informatics is preferred but not required. Previous experience as a practicing bench or data scientist highly valued.
• Excellent technical, business, written, and verbal communication skills.
• Adept at handling multiple projects and context switching.

Preferred Skills and Previous Experience

• Experience with DynamoDB or similar NoSQL databases such as Cassandra, MongoDB, Greenplum, RedShift.
• Adept at Python programming using Pandas, Num