> Markdown version of [/jobs/ext/3018084-architect-organization](https://www.wearedevelopers.com/jobs/ext/3018084-architect-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Architect Organization - **Company:** LARMAUR, INC. - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $156,000.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Unix, Cloud Computing, Configuration Management, Information Systems, Computer Programming, Continuous Delivery, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Systems, Data Warehousing, Linux, Distributed Computing Environment, Python (Programming Language), Unix Shell, Project Management Software, Operational Databases, Performance Tuning, Query Optimization, Standard Sql, Requirements Management, Shell Script, SQL Databases, Structured Text, Unstructured Data, Management of Software Versions, Extensible Markup Language (XML), Data Processing, Scripting, Data Storage Technologies, Large Language Models, Git, Build Management, Pyspark, Information Technology, Data Management, Software Version Control, Jenkins - **Published:** September 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-architect-san-francisco-ca--f6e69c6e-e9aa-485e-8372-91e5b594c07e ## About the Role * 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., Adjudication, Agile Programming Methodologies, Amazon Web Services (AWS), Artificial Intelligence (AI), Atlassian JIRA, Biology, Biotech and Pharmaceutical, Cloud Computing, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Processing, Data Quality, Data Science, Data Storage, Data Warehousing, DataArchitect Data Modeling Tool, GCP (Good Clinical Practices), Git, Human Intelligence (HUMINT), Industry Standards, Information Technology & Information Systems, Jenkins, Linux Operating System, Machine Tool, Microsoft Windows Azure, Performance Tuning/Optimization, Presentation/Verbal Skills, Product Development, Product/Service Launch, Production Support, Productivity Management, Project Management Software, Python Programming/Scripting Language, Quality Assurance Methodology, Query Optimization, Requirements Management, SQL (Structured Query Language), Source Code/Configuration Management (SCM), Structured Data, Team Lead/Manager, Technical Presentation, Unix Operating Systems, Unix Shell Programming, Unstructured Data, Writing Skills, XML (EXtensible Markup Language) ## Description 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) ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)