Finops Staff Software Engineer- Eng

Overview

Lead the strategy, architecture, and implementation of UKG's Unified FinOps Platform, establishing the enterprise data foundation for cloud financial governance, forecasting, unit economics, optimization intelligence, and the AskFinOps AI Agent.

What you'll do

• 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.
• Lead the design and implementation of cloud-native data products integrating cloud billing and usage data, cost allocation and chargeback/showback frameworks, infrastructure and application telemetry, commitment and discount utilization, and financial and operational business metrics.
• Develop scalable data pipelines and services that provide a trusted source of truth for cloud cost and consumption.
• Drive platform modernization through automation, observability, and self-service capabilities.
• Architect forecasting and planning capabilities leveraging cloud consumption, business demand signals, and operational metrics.
• Enable rolling forecasts, budget planning, scenario modeling, and capacity planning across cloud environments.
• Partner with FinOps and Finance teams to improve forecast accuracy and financial predictability.
• 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.
• Drive adoption of advanced analytics and intelligent automation across the FinOps ecosystem.
• Identify opportunities to reduce manual analysis and reporting through data engineering and AI solutions.
• 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.
• 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.

What you'll need

• 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.
• Expert-level SQL and Python development skills.
• 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.
• Cross-functional leadership and influence.
• Strategic problem-solving and systems thinking.

Nice to have

• Experience with FinOps, cloud financial management, or cloud cost optimization programs.
• FinOps Certified Practitioner or FinOps Professional certification.
• Experience supporting AI, machine learning, or intelligent automation initiatives.
• Experience with forecasting, planning, financial analytics, or unit economics solutions.
• AWS and/or GCP Professional-level certifications.
• Bachelor's degree in Computer Science, Engineering, Analytics, Information Systems, or related discipline; Master's degree preferred.

Details

• Location: Noida, India.