Taylor Murphy is a principal product leader, founder, and data engineer with a decade of experience building data-first products and open-source tooling to tame "dark data." As CPO and co-founder of Arch.dev and a long-time maintainer of Meltano, Taylor blends hands-on Python/SQL engineering with product strategy to give teams visibility and control over data pipelines, and has contributed metadata improvements to widely used projects like dbt-core. Their background in chemical and biomolecular engineering (PhD) and metabolomics informs a rigorous, scientific approach to data quality and measurement-driven roadmaps. Comfortable moving between full-stack contributions, community-facing documentation, and technical architecture, Taylor excels at turning complex data workflows into reliable developer experiences. Based in Arlington, TX, they’ve also advised startups and served on nonprofit boards, reflecting a blend of entrepreneurial drive and civic engagement.
10 years of coding experience
18 years of employment as a software developer
Associate of Science (A.S.) Pre-Engineering, Associate of Science (A.S.) Pre-Engineering at Chattanooga State Technical Community College
Bachelor of Science Chemical Engineering, Bachelor of Science Chemical Engineering at The University of Tennessee at Chattanooga
Ph.D. Chemical Engineering, Ph.D. Chemical Engineering at Vanderbilt University
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Role in this project:
Full-stack Developer
Contributions:409 reviews, 290 commits, 125 PRs in 1 year 10 months
Contributions summary:Taylor primarily contributed to the documentation and UI components of the Meltano project, specifically focusing on community and getting started guides. They added and updated links to the Meltano Hub and Slack, demonstrating a focus on improving user experience and community engagement. Additionally, they touched upon core configurations by bumping the version and updating the documentation's sidebar, demonstrating some knowledge of the project's overall structure.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Data Engineer
Contributions:14 commits, 1 PR, 38 comments in 12 days
Contributions summary:Taylor primarily focused on modifying data structures and parsing logic related to schema definitions within the dbt-core project. They added and updated fields like 'meta' to various data classes and parsers, ensuring the manifest.json included relevant data. This suggests a focus on improving how dbt handles and represents metadata associated with data models and sources. The commits show a transition from 'data' to 'meta' for storing key-value pairs and involved modifications to the parser to correctly process these fields.
analyticsdbt-viewpointtransformanalystssql
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Taylor Murphy - Principal Product Manager at Matatika