Senior Applications Developer, Incentive Planning and Finance Operations

Accountabilities:: Own the architecture and ongoing development of the Anaplan environment supporting sales incentive compensation, including model design, calculation logic, territory hierarchies, and plan administration across business units. Design, develop, and maintain Databricks data warehouse architecture, including data models, warehouse management, SQL development, reporting, and analytics infrastructure. Build and maintain Fivetran pipelines that transfer data from Anaplan into Databricks for downstream reporting and analytics. Develop and maintain Python- and SQL-based data pipelines that integrate data from systems such as Salesforce, Workday, and Zuora into Anaplan. Apply object-oriented development principles and build reliable API integrations between business applications and data platforms. Own development operations for the team, including CI/CD pipeline management and GitLab repository administration. Use Databricks Asset Bundles to support deployment of jobs, pipelines, and workflows through automated development and release processes. Maintain integration workflows and data pipelines in accordance with SOX audit requirements, including traceability, access governance, and change-management controls. Partner with business and technical stakeholders to understand complex incentive planning and finance requirements and translate them into scalable technology solutions. Expand the team’s AI-enabled technical capabilities by integrating AI-assisted development tools into the codebase and workflows. Develop end-user performance reporting applications within Databricks to improve visibility into incentive and finance data. Continuously evaluate opportunities to improve automation, reliability, scalability, and efficiency across the application and data ecosystem. Requirements: Bachelor’s degree in Computer Science, Information Systems, or a related field. 5+ years of experience as a data engineer, application developer, or similar technical professional within a mid-sized or large technology organization. Experience in sales operations, finance, incentive compensation, or a comparable business environment is preferred. Advanced Python development skills, including strong experience with object-oriented programming and API integration development. Hands-on experience with Databricks, including data warehouse architecture, SQL development, data engineering, and end-user reporting applications. Experience with Databricks Asset Bundles (DABs) for CI/CD deployment of jobs, pipelines, and workflows. Familiarity with Terraform and YAML-based infrastructure provisioning is a plus. Experience with Fivetran or comparable ETL/data integration platforms is preferred. Knowledge of and hands-on experience with Anaplan, with system architecture experience preferred. Experience integrating business applications such as Salesforce, Workday, and Zuora through APIs and related integration technologies. Understanding of CI/CD practices, GitLab, source-code management, and development operations. Strong interest in emerging technologies, including AI-assisted software development tools and modern engineering workflows. Ability to analyze complex business requirements and turn them into practical, maintainable technical solutions. Strong communication and relationship-building skills, with the ability to collaborate effectively across technical, finance, sales, and business teams. Highly organized and detail-oriented, with a focus on data accuracy, reliability, governance, and operational excellence. Comfortable working independently and adapting to changing priorities in a fast-paced environment. Benefits: Base salary of $148,600–$237,400 annually in California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington State, and Washington, D.C. Base salary of $141,200–$225,600 annually in Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia. Actual compensation varies based on factors including location, experience, and performance. Eligibility for equity awards, with award amounts determined based on factors such as experience, performance, and location. Fully remote work within the United States, with employees able to work from a physical location of their choice, subject to limited location exceptions. Flexible distributed-work environment designed to support productivity, collaboration, and work-life balance. Opportunity to work across application development, data engineering, finance operations, incentive planning, and analytics. Exposure to modern technologies including Databricks, Anaplan, Fivetran, Python, SQL, APIs, CI/CD, and AI-assisted development. Opportunity to influence architecture and technology strategy for systems supporting variable compensation across multiple business units. Collaborative environment with close interaction across technical and business stakeholder groups. Opportunities to contribute to innovative automation, reporting, analytics, and AI-enabled engineering initiatives. Inclusive workplace committed to professional development, collaboration, and equal employment opportunity.