Finops Staff Software Engineer- Eng

Define and lead the architecture for UKG's Unified FinOps Platform across AWS and GCP environments. Establish enterprise data models, governance standards, and engineering best practices for cloud financial management. Design scalable, resilient, and secure data solutions supporting forecasting, reporting, optimization, and AI-driven insights. Serve as the technical authority for FinOps data architecture and platform strategy. Data Platform & Product Development Lead the design and implementation of cloud-native data products integrating: Cloud billing and usage data Partner with FinOps leadership, Finance, Engineering, Product, Architecture, and Data organizations to align platform investments with business objectives. Mentor and guide Data Engineers and Analysts while promoting engineering excellence and innovation. Influence cloud financial management strategy and roadmap through technology leadership. Drive adoption of platform capabilities and foster a data-driven culture across the organization. 10+ years of experience in Data Engineering, Data Platform Architecture, or Analytics Engineering. 5+ years leading enterprise-scale cloud-native data platforms. Proven experience designing and implementing large-scale data architectures and platforms. Experience building data products that support financial, operational, or business-critical decision-making. Deep expertise in cloud-native data ecosystems across AWS and/or GCP. Experience with modern data platforms such as BigQuery, Snowflake, Databricks, Redshift, or equivalent technologies. Expertise in ETL/ELT architecture, data orchestration, and data observability frameworks. Strong understanding of API integration, streaming architectures, and distributed data systems. Experience implementing data governance, lineage, and quality frameworks. Enterprise architecture and technical strategy. Data platform design and modernization. Executive stakeholder management and communication. Strategic problem-solving and systems thinking. Experience with FinOps, cloud financial management, or cloud cost optimization programs. Develop scalable data pipelines and services that provide a trusted source of truth for cloud cost and consumption. Architect forecasting and planning capabilities that leverage cloud consumption, business demand signals, and operational metrics. Enable rolling forecasts, budget planning, scenario modeling, and capacity planning across cloud environments. Build foundational capabilities supporting cloud unit economics and cost-to-serve analysis. Establish the data foundation powering AskFinOps and future AI-driven FinOps capabilities. Enable automated anomaly detection, optimization recommendations, and decision-support workflows. Establish enterprise standards for data quality, lineage, observability, and governance. Deliver trusted, SOX-compliant datasets supporting Finance, Accounting, Engineering, and Executive stakeholders. Enable consistent metrics, KPIs, and reporting across cloud financial management functions. Ensure scalability, security, and compliance of all platform capabilities. Experience supporting AI, machine learning, or intelligent automation initiatives. Experience with forecasting, planning, financial analytics, or unit economics solutions. Bachelor's degree in Computer Science, Engineering, Analytics, Information Systems, or related discipline; Master's degree preferred. Expected Outcomes Deliver and operationalize UKG's Unified FinOps Platform as the enterprise source of truth for cloud financial management. Enable automated forecasting, allocation, optimization, and reporting capabilities at scale. Establish the data foundation supporting AskFinOps AI and intelligent cloud financial operations. Improve cloud cost transparency, forecast accuracy, and unit economics visibility across the organization. Accelerate FinOps maturity through automation, self-service analytics, and data-driven decision-making. Support UKG's long-term objective of scaling cloud and AI innovation while maintaining disciplined spend and margin performance.