Senior Architect

Trinity Life Sciences; Massachusetts; On-site; USD 156,000 - 234,000; Full time

Job summary

Trinity Life Sciences is seeking an experienced Senior Data Architect to own end‑to‑end data product architecture, working with domain experts to transform unstructured data into enterprise‑quality data products. This hands‑on role combines design and build responsibilities, including AI-assisted extraction pipelines and data provenance strategies.

You will lead architecture decisions for complex data systems, leverage PySpark, Python, and cloud platforms, and collaborate with data scientists

Qualifications

• 8+ years of hands-on data engineering and data architecture experience
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field
• Equivalent practical experience will be considered for strong candidates
• Depth in data modeling, grain/keys/entity resolution, provenance, and schema evolution
• Strong SQL and relational/data warehouse expertise with performance optimization
• Strong Python for production data pipelines with orchestration, versioning, testing, and observability
• Experience normalizing messy semi-structured and unstructured sources into stable schemas
• Ability to leverage AI coding assistants to boost productivity
• Excellent written and verbal communication skills; ability to present technical concepts to non-technical stakeholders

Responsibilities

• Translate business requirements into data product architecture with domain experts
• Own architecture for Trinity data products: tooling, schemas, grain and key design, provenance
• Design and build robust normalization pipelines for heterogeneous text sources
• Build multi-stage pipelines combining parsing, AI-assisted extraction, and human review
• Optionally design internal interfaces for analysts to review and modify outputs

Skills

Data architecture

SQL

Python

Data modeling

Schema evolution

LLM integration

Communication

Agile

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

PySpark

Git

Jenkins

CodePipeline

Unix/Linux

AWS

Azure

GCP

Job description

Position Summary

We are looking for an experienced Senior Data Architect to own data product architecture end to end, working closely together with Trinity domain experts to design and build data products that provide biopharma leaders the accurate, integrated evidence they need to inform high-stakes commercial decisions. This is a hands‑on role. We are looking for an experienced architect who wants to both design and build. Much of our raw material is unstructured or loosely structured text data; the core responsibility of the data architect in this role is to lead the teams that convert this unstructured data to enterprise‑quality data products.

What You'll Do

• Work closely with domain experts, data scientists, and AI engineers to translate business requirements into data product architecture.
• Own the architecture for Trinity data product(s): tooling/stack, schemas, attribute inclusion/exclusion, grain and key design, entity resolution, data provenance, schema evolution strategy, etc.
• Design and build robust normalization pipelines for heterogeneous and loosely‑structured text‑based sources
• Build multi‑stage pipelines that combine deterministic parsing, LLM‑assisted extraction and inference, and human review and adjudication
• If desired, there is significant opportunity to take on AI‑assisted full stack development: for example, to design and build internal interfaces analysts use to review, approve, and modify pipeline outputs (optional, if of interest)

What You'll Bring

• 8+ years of hands‑on data engineering and data architecture experience, including owning architecture and technical direction for complex data systems end to end, from scoping and design through delivery and production support
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
• Equivalent practical experience will be considered for strong candidates
• Depth in data modeling, with practical judgment on grain, keys, entity resolution, data/attribute provenance, and schema evolution.
• Strong SQL and relational and data warehouse expertise, including query and performance optimization
• Strong Python for production data pipelines, with orchestration, versioning, testing, and observability practices you have applied at scale
• Demonstrated experience normalizing messy semi‑structured and unstructured sources – XML, PDFs, etc. – into stable, documented schemas (core requirement)
• Ability to achieve significant productivity increases without sacrificing quality while leveraging AI coding assistants as part of the day‑to‑day engineering process
• Excellent written and verbal communication skills; ability to present technical concepts clearly to non‑technical stakeholders and engage directly with business teams

Additional Skills

• Familiarity with PySpark and distributed data processing frameworks.
• Hands‑on experience with Git, Jenkins, and Code Pipeline for version control and CI/CD processes.
• Knowledge of Unix/Linux environments and shell scripting.
• Exposure to cloud platforms such as AWS, Azure, or GCP for data storage and processing.
• Experience with data validation and data quality checks.
• Understanding of Agile methodologies and project management tools like JIRA.

About Trinity

Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose‑built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre‑launch to scale to loss of exclusivity. For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.

Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills, level of experience and training, specific qualifications, geographic location, internal equity, and other business/organizational needs. The base salary range for this role is $156,000 - $234,000 per year. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.

Trinity’s Commitment to Inclusion & Engagement (I&E)

Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.