Technical Architect (EMEA Remote)

March 19

TetraScience

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Open | Cloud-Native | Purpose-Built for Science

Experimental Data • Life Sciences • Data Integration • Cloud Computing • ML/AI

51 - 200

Description

• You will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. As a Technical 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

• 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 (i.e. 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. • Experience with DynamoDB or similar NoSQL databases such as Cassandra, MongoDB, Greenplum, RedShift. • Adept at Python programming using Pandas, Numpy, csv, TraceBack, JSON, pyodbc, MATLAB, Dataweave. • Experience with AWS, or Azure and a background of building scalable cloud data pipelines. • Experience working with Scientific or unstructured data is preferred. • MS/PhD in Computer Science or comparable discipline is preferred. • Demonstrable experience leading implementation teams and applying best practices in support of large enterprise transformation / integration programs that span multiple enterprise business domains. • Knowledge of integration patterns, tools, ability to identify the right patterns, & explain the short / long term implications of using patterns. • Strong understanding of what and how to establish governance models as well as helping customers understand their transformation journeys (i.e. maturity assessment). • Extensive DevOps automation experience with proven track record of real world examples

Benefits

• Competitive Salary and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work.