sr database architect - Green Bay - Nicolet National Bank

Description

Job Title

Nicolet National Bank's Culture

We are a community bank that prioritizes our customers' needs in every decision we make. Our Core Values drive our actions, and we strive to serve our customers with excellence. We believe every job is crucial to our success, and we aim to create a work environment where employees feel valued, respected, and supported.

Our Locations

We proudly serve Wisconsin, Michigan, Minnesota, and Florida, making a positive impact on our local communities. We consider our people our most valuable asset and invest in their growth and development.

Key Responsibilities

• Manage and implement the Enterprise Data Warehouse Platform.
• Ensure optimal performance of the cloud data warehouse (Snowflake) for internal teams as the solution grows across the entire bank.

Responsibilities

• Design, implement, and maintain cloud data warehouse solutions (Snowflake and additional tools) that meet internal project requirements.
• Monitor performance and tune for optimal storage and processing utilization.
• Provide technical and consultive support to partnering teams.
• Administer and maintain warehouse users and role permissions.
• Identify automation opportunities for internal processes and procedures.
• Author and maintain internal documentation.
• Responsible for data aggregation between multiple datasets with varying data structures aimed at creating efficient data streams for analytics and automation.
• Leverage Snowflake functionality and apply these capabilities to improve current business processes (systems such as Alteryx, Tableau, RPA Tools, PowerBI, Salesforce, etc.).
• Evaluate and resolve issues and errors found within systems, maintaining the credibility and integrity of the data.
• Work across many different enterprise systems / processes while maintaining company confidential information standards

Qualifications

• Bachelor's Degree in Computer Science/Data Analytics, Data Engineering, or General Business preferred.
• 3+ years of experience in database/warehouse administration required.
• Experience with banking industry, big data, and/or data visualization is a plus.
• Experience with SQL and Python preferred.
• Knowledge of warehouse sizing, ETL architecture, star-schema data models, and data transformation best practices is required.