Senior Architect

🕒 September 9

🏄 California, New Jersey, +3 more states – Remote

🏄 California – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote

💵 $156k - $234k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

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Trinity Life Sciences

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 Corporate round on 2023-02

Healthcare • Logistics • Marketing

Trinity Life Sciences is a commercial strategy and technology company that helps life sciences organizations bring products to market and optimize commercial performance. It provides a combination of expert consulting services and a SaaS data & analytics platform (TrinityEDGE) with AI-enabled tools for forecasting, launch planning, market access, HEOR, real‑world evidence, customer engagement, and commercial analytics. Trinity partners with biotech, pharma and medtech clients to accelerate launches, inform pricing and access, and drive measurable revenue outcomes.

📋 Description

• Own end-to-end architecture for Trinity data products • Work with domain experts, data scientists, and AI engineers to translate business requirements into data product architecture • Define tooling and stack, schemas, attribute inclusion/exclusion, grain and key design, entity resolution, data provenance, and schema evolution strategy • Design and build 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 • Lead teams converting unstructured or loosely structured data into enterprise-quality data products • Optionally design and build internal full-stack interfaces for analysts to review, approve, and modify pipeline outputs

🎯 Requirements

• 8+ years of hands-on data engineering and data architecture experience • Experience 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, or equivalent practical experience • Depth in data modeling, including 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 • Experience normalizing messy semi-structured and unstructured sources, including XML and PDFs, into stable, documented schemas • Ability to leverage AI coding assistants in day-to-day engineering while maintaining quality • Excellent written and verbal communication skills and ability to present technical concepts to non-technical stakeholders • Familiarity with PySpark and distributed data processing frameworks • Hands-on experience with Git, Jenkins, and Code Pipeline for version control and CI/CD • Knowledge of Unix/Linux environments and shell scripting • Exposure to 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 such as JIRA

🏖️ Benefits

• Annual discretionary performance bonus • Equal opportunities and inclusive workplace environment