Senior Architect

Trinity Life Sciences; Waltham, Northern (MA, KY); Hybrid; USD 156,000 - 234,000; Full time

Job summary

Trinity Life Sciences in Waltham, MA, is seeking an experienced Senior Data Architect to own end-to-end data product architecture, shaping schemas, provenance, and entity resolution while leading teams to convert unstructured text into enterprise-grade data assets.

The role combines design and hands-on build of multi-stage pipelines, from deterministic parsing to AI-assisted extraction, with opportunities to extend into internal analyst interfaces and CI/CD workflows.

Qualifications

• 8+ years of hands-on data engineering and data architecture experience.
• Proven ability to own architecture end-to-end from design to production.
• Strong SQL and relational/data warehouse expertise; proficient in Python.

Responsibilities

• Own architecture for Trinity data product(s): tooling/stack, schemas, grain and key design, provenance, and schema evolution strategy.
• Design and build robust normalization pipelines for heterogeneous sources including semi-structured text.
• Build multi-stage pipelines combining deterministic parsing, AI-assisted extraction, and human review/adjudication.

Skills

Data modeling

SQL

Python

PySpark

Git

Jenkins

Code Pipeline

Unix/Linux

AWS/Azure/GCP

Entity resolution

Data provenance

Schema evolution

Data validation

Data quality checks

Agile / JIRA

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Jenkins

Code Pipeline

Job description

## Senior ArchitectApply: Waltham, MA - Headquarters: United States - Remote: San Francisco, CA: New York, NY: East Norriton, PA: Full time: Posted 2 Days Ago: JR100795## Position SummaryWe 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.