Data Engineering Manager

Nicolet National Bank•Green Bay, WI

18d•Onsite

About The Position

At Nicolet National Bank, our culture is based on the principles of community banking, putting the needs of our customers at the forefront of our decision-making. Our Core Values drive everything we do, and we are committed to serving our customers with excellence. We believe that every job in our organization is critical to our success, and we are dedicated to creating a work environment where our employes feel valued, respected, and supported. With locations in Wisconsin, Michigan, Minnesota, and Florida we are proud to service our local communities and make a positive impact on the lives of our customers. At Nicolet National Bank, we believe that our people are our most valuable asset, and we are committed to investing in their growth and development. The Data Engineering Manager is responsible for leading and developing a team of Data Architects and Data Solutions Engineers while actively contributing to hands-on technical projects. This role will manage the data warehouse in Snowflake, engineering automations in Alteryx and/or other solutions, while ensuring efficient project intake and prioritization. The ideal candidate combines strong technical expertise with proven technical leadership skills to drive innovation and operational excellence across the data engineering function. As a Data Engineering Manager, you will: Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation. Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx. Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices. Implement best practices for data modeling, ETL/ELT processes, and automation. Own and maintain the Snowflake data warehouse roadmap and engineering standards. Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions. Ensure data integrity, security, and compliance across all engineering solutions. Collaborate with IT and rest of data teams to align solutions with enterprise Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture. Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet’s policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Data Analytics or related field.
7+ years in data engineering or related data roles required.
3+ years in leadership or management positions required.
Strong technical expertise in Snowflake, DBT, Azure Data Factory and SQL or like systems.
Ability to design and implement scalable data solutions.
Excellent leadership, communication, and organizational skills
Ability to balance hands-on development with team development.
Must be able to work fully in-office. This position does not allow for remote work.

Nice To Haves

Familiarity with Alteryx, UiPath, Tableau, Power BI and Salesforce is preferred.

Responsibilities

Set the technical strategy for data engineering solutions and data architecture which includes end to end data pipeline strategy, consumption management, project scoping, and data automation.
Design, develop, and optimize data engineering solutions using Snowflake, DBT, Azure Data Factory, and Alteryx.
Continuously assess and optimize the data engineering technology stack to ensure scalability, performance, and alignment with industry best practices.
Implement best practices for data modeling, ETL/ELT processes, and automation.
Own and maintain the Snowflake data warehouse roadmap and engineering standards.
Lead data project scoping, prioritization, and resource allocation to ensure timely delivery of data engineering solutions.
Ensure data integrity, security, and compliance across all engineering solutions.
Collaborate with IT and rest of data teams to align solutions with enterprise
Establish documentation and governance standards for data engineering workflows ensuring completeness, audit readiness, and traceability in alignment with enterprise architecture.
Directly supervise the Data Architecture & Data Engineering team in accordance with Nicolet’s policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching, mentoring and development planning; rewarding and disciplining employees; addressing complaints and resolving problems.