Senior Manager, Finance Data Platform

This is a fully remote position, open to applicants in Florida, +4 more states.

📋 Description

• Oversee the engineering, delivery, operations, and continuous advancement of the Finance Data Platform.

• Provide daily leadership to engineers, finance data specialists, and partner resources.

• Set priorities for Finance enhancements, strategic initiatives, production challenges, reconciliations, data quality, technical debt, and platform modernization.

• Collaborate with Finance, Accounting, FP&A, Commissions, Data Architecture, Data Engineering, and enterprise technology teams.

• Convert intricate Finance requirements and business regulations into scalable technical solutions and engineering priorities.

• Gain expertise in the existing FDM ecosystem, encompassing business processes, data models, transformations, integrations, dependencies, and downstream consumers.

• Direct data capabilities that support the general ledger, P&L, FP&A, commissions, banking, attribution, reconciliation, and financial reporting.

• Spearhead the modernization and transfer of Finance data capabilities onto the enterprise Databricks Lakehouse platform.

• Design and supervise ingestion, transformation, integration, and publishing patterns for complex financial datasets.

• Promote engineering standards, including reusable frameworks, metadata-driven pipelines, automated testing, CI/CD, observability, and infrastructure automation.

• Enhance Databricks workloads for performance, scalability, reliability, and cost-effectiveness.

• Develop financial data models, reconciliation capabilities, auditability, lineage, controls, and data quality standards.

• Manage execution across Finance data projects, enhancements, defects, operational requests, and production challenges.

• Implement monitoring, alerting, incident management, and production-readiness practices.

• Coordinate between internal teams and external delivery partners.

• Lead, mentor, and nurture the Finance Data Platform team.

• Engage in hiring, workforce planning, performance management, and capability development.

⛳️ Requirements

• 10+ years of experience in data engineering, enterprise data platforms, data architecture, financial data systems, or related fields.

• 3+ years of experience managing data engineering, data platform, or financial data teams.

• Proven experience in designing, building, or operating large-scale enterprise data platforms that support business-critical workloads.

• Strong practical experience with Databricks, Apache Spark, Delta Lake, or similar modern cloud data technologies.

• Advanced SQL skills and a solid understanding of data engineering, ETL/ELT, integration, pipeline design, and performance optimization.

• Extensive experience with cloud platforms such as Azure or AWS.

• Deep understanding of financial data and processes, including P&L, FP&A, General Ledger, commissions, banking, journal entries, financial reporting, reconciliation, allocations, attribution, planning, and forecasting.

• Experience in supporting data environments where accuracy, auditability, lineage, reconciliation, and financial controls are paramount.

• Strong knowledge of enterprise data modeling, dimensional modeling, and modern lakehouse architectures.

• Proven ability to manage production data workloads and resolve complex data, pipeline, reconciliation, and platform issues.

• Experience in implementing automated testing, monitoring, data quality, CI/CD, and production controls.

• Capability to translate complex Finance requirements into scalable data solutions.

• Ability to lead teams working on strategic initiatives, rapid enhancements, and business-critical production responsibilities.

• Excellent communication and stakeholder-management skills.

• Preferred: experience in building, leading, or modernizing a Finance Data Platform, Finance Data Mart, Finance Data Warehouse, or similar financial data ecosystem.

• Preferred: experience in migrating legacy SQL Server, SSIS, ADF, stored procedures, or traditional data warehouse workloads to Databricks or another cloud-native platform.

• Preferred: experience with Varicent or similar commission and incentive compensation platforms.

• Preferred: experience with OneStream or comparable financial planning, consolidation, and performance management platforms.

• Preferred: experience in insurance, financial services, distribution, commissions, or other transaction-intensive industries.

• Preferred: Databricks certification and/or relevant Azure or AWS certifications.

• Employment offers are subject to successful completion of a background screening.

🏝️ Benefits

• Discretionary annual bonus eligibility.

• PTO.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Retirement savings.

• Disability insurance.

• Life insurance.