Data Architect

Job Title: Data Architect

Location: 100% Onsite – Cambridge MA)

Schedule: Normal Business Hours

Top Skills:

- Experience with core AWS serverless application development using Lambda, SQS, Redshift, DynamoDB, and RDS.

- Experience building or enhancing a laboratory informatics system (LIMS) specifically in a research or drug development context

- Combined 10 years experience with AWS and/or LIMS platform management (Dotmatics, Benchling, Genedata)

(Preferred) Some experience in a strategic architecture role working with LLM capabilities including OpenAI models, Claude, Gemini, LLaMa or similar.

- Proficient with Python, SQL, R, database design, and at least one front end development framework (React, Angular, or similar)

- Excellent communication skills: Demonstrated experience interacting with technical product designers to gather solution architecture requirements, and ability to perform designated tasks in a timely manner.

Job Description:

The Strategic Architect is a service-oriented, forward-thinking team leader who is responsible for designing scalable, innovative, cloud-based solutions, specifically within the Informatics and Predictive Sciences (IPS) department. This pivotal role requires a combination of technical expertise, strategic vision, and collaborative leadership to support LLM-based solutions that drive scientific advancements in drug discovery and development. The Strategic Architect works closely with subject matter experts, Product Managers, and IT teams to ensure that architectures align with business objectives, scientific needs, and technical best practices.

Note: The interview process for this role will require a real-time AWS architecture assignment. AI assisted interview technologies are strictly forbidden for all interviews

Responsibilities:

Drive key architectural decision-making via workshops and brainstorming sessions and document outcomes via solution architecture diagrams

Develop strategic architectural roadmap and guidelines for engineers and developers to adopt

Own the early robust build phase of successful prototypes and lead the transition to iterative development and maintenance

Solve complex architectural problems to solve for end user requirements and use cases

Navigate and collaborate with multiple IT organizations to gain alignment and clear a path for engineers and developers to proceed with solution build

Collaborate with IT Leadership to translate product vision into technical architecture design and feature implementation roadmap.

Explore and pilot new LLM technologies to assess their potential integration into existing architecture.

Provide thought leadership on emerging LLM and AI models and capabilities and drive experimentation in service to use cases

Perform risk assessments on new or existing cloud architectures to identify cost, scalability, or any other infrastructure management concerns.

Propose opportunities for enhanced operational support of new or existing infrastructure through cloud-native monitoring and testing suites.

Create rapid prototypes to validate technical architecture design feasibility.

Engage directly with development teams to provide guidance on appropriate selection of programming languages, LLM evaluation frameworks, testing methodologies, and system scalability strategies.

Map use cases to leverage existing capabilities and define solutions for new capabilities.

Pick appropriate technologies for new solutions and ensure integration with enterprise infrastructure.

Merge technical infrastructure where needed, defining consistent back-end and front-end technologies.

Skills:

- Experience with core AWS serverless application development using Lambda, SQS, Redshift, DynamoDB, and RDS.

- AWS cloud services expertise needed, with the ability to quickly learn and incorporate new AWS technologies into solutions.

- Experience building or enhancing a laboratory informatics system (LIMS) specifically in a research or drug development context

- Proficient with Python, SQL, R, database design, and at least one front end development framework (React, Angular, or similar)

- Previous exposure to large-scale scientific systems design and integration patterns, including mapping use cases to best practice architectural and integration patterns

- Ability to deliver performance evaluations, benchmarking, and troubleshooting of AI or LLM-based applications

- Experience building or maintaining cloud-native applications.

- Familiarity with containerization (Docker/ECS), Agile methodologies, and cloud-native development patterns.

- Ability to explore and pilot new technologies, including LLM technologies.

Requirements:

- Bachelor's, Master's or PhD with a technology focus (IT, Computer Science, or a related field) or a scientific focus (Biology, Chemistry, or a related field) with at least 10 years of programming and architecture experience.

- Combined 10 years experience with AWS and/or LIMS platform management (Dotmatics, Benchling, Genedata)

(Preferred) Some experience in a strategic architecture role working with LLM capabilities including OpenAI models, Claude, Gemini, LLaMa or similar

- Excellent communication skills: Demonstrated experience interacting with technical product designers to gather solution architecture requirements, and ability to perform designated tasks in a timely manner.

- Proven track record of successfully managing technical projects and leading cross-functional teams.

- Ability to multitask in a fast-paced research environment.

- Ability to work independently and as part of a team.

- Highly motivated self-starter.