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UC
United Community Bank
Data Application Development Team Lead
Career Insights for Application Developer / Engineer
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Based on South Carolina data
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What they do
An Application Developer or Engineer designs or improves applications software. Oversees the entire applications development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$97,888 / year median in South Carolina
-14% projected decline
Job Description
Overview Reporting to the Manager of Analytics & Data Products, you will lead day-to-day delivery of the data application portfolio, working across requirements, interface design, build, deployment, and ongoing support. You will partner directly with business units to turn manual processes and spreadsheet workarounds into governed applications backed by Snowflake. You will do this within the bank's data governance and security framework, partnering with our governance and data quality functions so that the applications our business partners rely on are accurate, secure, and supportable. What You'll Do Lead and develop members of the data application development team, providing day-to-day direction, coaching, career development, and performance reviews. Serve as the senior hands-on builder on the team, personally delivering the most complex and most visible data applications. Design, build, and maintain data applications in Sigma, including input tables, write-back workflows, row-level and column-level security, and embedded experiences. Build and maintain Power Apps that give business users governed interfaces for data entry, approvals, and operational workflows. Build and maintain Power Automate flows that automate manual business processes and connect Microsoft 365, SharePoint, and Snowflake. Design, build, and support Microsoft Teams bots and other conversational or in-workflow interfaces that deliver data where users already work. Set development standards for the data application portfolio, including version control, environment promotion, naming conventions, testing, and code review. Translate business requirements into application designs, facilitating discovery conversations that get past the initial request to the underlying process problem. Own the support model for data applications, including issue triage, enhancement intake, release communication, and user training. Partner with Data Engineering to define the data models and pipelines that data applications depend on, rather than building around gaps in the platform. Ensure data applications adhere to enterprise data governance and security standards, including access control, sensitive data handling, and audit requirements. Maintain documentation for applications, processes, and development best practices. Identify opportunities to replace manual processes, spreadsheets, and legacy tools with governed, supportable applications.