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About the Role
We are seeking an experienced Senior Data Architect to own data product architecture end-to-end. This role involves collaborating with domain experts to design and build data products that provide biopharma leaders with accurate, integrated evidence for critical commercial decisions. It is a hands-on position requiring both design and development expertise, with a focus on converting unstructured text data into enterprise-quality data products.
Responsibilities
- 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), including tooling/stack, schemas, attribute inclusion/exclusion, grain and key design, entity resolution, data provenance, and schema evolution strategy.
- Design and build robust normalization pipelines for heterogeneous and loosely-structured text-based sources.
- Build multi-stage pipelines combining deterministic parsing, LLM-assisted extraction and inference, and human review and adjudication.
- Optionally, take on AI-assisted full stack development, such as designing and building internal interfaces for analysts to review, approve, and modify pipeline outputs.
Requirements
- 8+ years of hands-on data engineering and data architecture experience, including owning architecture and technical direction for complex data systems end-to-end.
- 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 applied at scale.
- Demonstrated experience normalizing messy semi-structured and unstructured sources (XML, PDFs, etc.) into stable, documented schemas.
- Ability to achieve significant productivity increases without sacrificing quality while leveraging AI coding assistants.
- Excellent written and verbal communication skills; ability to present technical concepts clearly to non-technical stakeholders and engage directly with business teams.
Skills
- Data modeling
- SQL
- Relational databases
- Data warehousing
- Query optimization
- Performance optimization
- Python
- Production data pipelines
- Orchestration
- Versioning
- Testing
- Observability
- Normalization
- Semi-structured data
- Unstructured data
- XML
- PDFs
- AI coding assistants
- PySpark
- Distributed data processing frameworks
- Git
- Jenkins
- Code Pipeline
- Unix/Linux environments
- Shell scripting
- AWS
- Azure
- GCP
- Data validation
- Data quality checks
- Agile methodologies
- JIRA
Experience Level
- Senior
Education Level
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field.
- Equivalent practical experience will be considered.
Salary/Compensations
- $156,000 - $234,000 per year
- Eligible for an annual discretionary performance bonus.
About the Company
- 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 over 30 years, 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.
- 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.
- Visit Trinity at www.trinitylifesciences.com.
Equal Opportunity
- Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals.
- Inclusion and engagement are at the heart of how we work and grow together.
- Trinity has 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.