The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Helping people get paid, grow in their careers, and shape the future of their industries. Staff Data Engineer

Staff Data Engineer – FinOps Platform, Forecasting & AI Enablement

As a Principal Data Engineer – FinOps Platform, Forecasting & AI Enablement, you will lead the strategy, architecture, and implementation of UKG's Unified FinOps Platform. You will be responsible for establishing the enterprise data foundation that powers cloud financial governance, forecasting, unit economics, optimization intelligence, and the AskFinOps AI Agent.

This role combines deep technical expertise, platform architecture, and strategic leadership to transform cloud cost management from a reporting function into a scalable, automated, and AI-enabled operating capability. You will partner with FinOps, Engineering, Finance, Product, Architecture, and Data & Analytics teams to deliver trusted, enterprise-grade data products that enable faster decisions, greater financial transparency, and improved cloud investment outcomes.

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

Commitment and discount utilization

Financial and operational business metrics

Develop scalable data pipelines and services that provide a trusted source of truth for cloud cost and consumption.

Forecasting & Decision Intelligence

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.

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.

AI & Automation Enablement

Establish the data foundation powering AskFinOps and future AI-driven FinOps capabilities.

Identify opportunities to reduce manual analysis and reporting through data engineering and AI solutions.

Data Governance & Enterprise Reporting

Establish enterprise standards for data quality, lineage, observability, and governance.

Enable consistent metrics, KPIs, and reporting across cloud financial management functions.

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.

Experience Required Skills & Experience:

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 up-to-date 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.

Data platform design and modernization.

Experience with FinOps, cloud financial management, or cloud cost optimization programs.

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.

Deliver and operationalize UKG's Unified FinOps Platform as the enterprise source of truth for cloud financial management.

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.

With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [HIDDEN TEXT]

📌 Staff Cloud Software Engineer (Noida)
🏢 Ukg
📍 Noida