Jeremiah Hansen
Principal Architect, Data Engineering, Global Field CTO Office
Boise, Idaho, United States
Summary
🤩
Rockstar🎓
Top SchoolJeremiah Hansen is a Principal Architect in Data Engineering within Snowflake’s Global Field CTO Office, combining hands-on data platform engineering with strategic customer-facing architecture. He brings a deep background in BI, systems, and web development stretching back to the 1990s, and has been recognized internally as Field CTO Architect of the Year and Sales Engineer of the Year. Jeremiah contributes to notable open-source Snowflake projects—particularly Snowpark Python pipelines and the schemachange database change management tool—demonstrating practical expertise in Snowflake objects, CI/CD for databases, and Python CLI tooling. Based in Boise, Idaho, he excels at translating complex data engineering problems into reliable, production-ready pipelines and platform configurations. Beyond technical depth, his career blends consulting and product-focused roles, giving him a rare combination of delivery, customer empathy, and platform stewardship.
5 years of coding experience
21 years of employment as a software developer
B.S. Computer Science, B.S. Computer Science at University of WashingtonTh.M. Theology, Th.M. Theology at Gordon-Conwell Theological Seminary
Github Skills (19)
python10
snowflake10
command-line-interface10
sql10
command-line10
database-management10
cli10
data-pipelines9
etl-process9
configuration-management9
data-pipeline9
data-warehouse8
jinja28
datamart8
database-administration7
Programming languages (4)
Github contributions (5)
Snowflake-Labs/schemachange
Nov 2020 - Oct 2022
A Database Change Management tool for Snowflake
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 reviews, 44 commits, 36 PRs in 1 year 11 months
Contributions summary:Jeremiah primarily contributed to the development and maintenance of the `schemachange` tool, a database change management system for Snowflake. Their work involved bug fixes, updates to package metadata, and incorporating new features, specifically related to connection authentication and handling of configuration files. They demonstrated expertise in Python, modifying the command-line interface (CLI) and updating dependencies. They also contributed to versioning and deployment of the tool.
auroramysqlsqltusharesnowflake
Snowflake-Labs/sfguide-data-engineering-with-snowpark-python
Jan 2023 - Feb 2023
Role in this project:Data Engineer
Data EngineerContributions:7 commits, 19 PRs, 23 pushes in 11 days
Contributions summary:Jeremiah primarily focused on data engineering tasks within a Snowflake environment, including data loading, transformation, and pipeline creation. Their contributions involve creating and modifying Snowpark code (Python) to process data, build views, and merge data into tables. The user also made infrastructure changes by altering warehouse sizes and configuring settings. The commits demonstrate work in creating and manipulating Snowflake objects such as tables, streams, and views.
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