Overview
We are seeking a hands-on Snowflake / Data & Application Engineer to support the development and modernization of data, reporting, analytics, and workflow capabilities within a commercial banking and credit environment.
This role will work directly with business subject-matter experts and enterprise technology partners to translate business requirements, existing datasets, spreadsheets, reports, documents, and manual processes into working applications, analytics, automation, and reusable data products.
The target environment uses Snowflake as a governed data foundation, with solutions potentially incorporating Streamlit, Python, SQL, Power BI, AI capabilities, and other enterprise technologies.
Existing internal architecture also contemplates curated datasets, governed data products, semantic models, analytics, applications, and AI as different ways of consuming the same underlying data.
This is primarily a hands-on builder role, rather than a strategy, project-management, or requirements-only position. The ideal individual can take an imperfectly defined business problem, understand the desired outcome, analyze the available data and existing process, and iteratively develop a practical solution.
Key Responsibilities
- Snowflake & Data Development
- Application Development
- Python & Automation
- Application Architecture
- Reporting & Analytics
- Workflow Modernization
- Data Integration
- Unstructured Data Processing
- AI & Advanced Analytics (Preferred)
Required Qualifications
- Snowflake, SQL
- Python
- Streamlit
- Power BI
- Data Modeling & Analytics
Preferred Experience
- Commercial Banking / Financial Services
- Lending, Credit, Risk
- nCino, Salesforce
- Git, REST APIs, Snowpark, Cortex
What Success Looks Like
- Build scalable business solutions
- Create reusable data products
- Troubleshoot across the data pipeline
- Collaborate with business and technology teams