Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.
Senior Staff Data Engineer (P5)
Job Title: Senior Staff Data Engineer - FinOps Platform & Reporting
Location: ATL / FL (Weston or Sunrise) / MA
About the Role
As a Senior Staff Data Engineer - FinOps Platform & Reporting, you will lead the design, development, and evolution of UKG's Unified FinOps Platform. You will architect and build scalable cloud-native data products that transform cloud cost, billing, usage, telemetry, and operational data into trusted financial insights, forecasting models, and actionable optimization opportunities.
This role is responsible for enabling accurate cloud financial governance across AWS and Google Cloud Platform through automated reporting, allocation, forecasting, and unit economics capabilities. You will partner closely with FinOps, Engineering, Finance, Data & Analytics, and Product teams to build the data foundation powering UKG's FinOps 2.0 strategy and AskFinOps AI platform.
Key Responsibilities
Platform Architecture & Engineering Leadership
Lead architecture and implementation of the Unified FinOps Data Platform.
Design scalable cloud-native data solutions supporting cost allocation, forecasting, optimization, and reporting.
Define data standards, governance frameworks, and engineering best practices.
Serve as technical lead for FinOps data architecture across AWS and Google Cloud Platform environments.
Lead DevOps automation, CI/CD, Infrastructure as Code, and platform reliability initiatives.
Enable AI/ML and Generative AI capabilities through scalable data architectures and governed data products.
Support AskFinOps AI use cases including forecasting, anomaly detection, and intelligent optimization.
Data Products & Pipeline Development
Build and maintain enterprise-grade pipelines for:
Cloud billing and usage data
Cost allocation and chargeback/showback
Discount and commitment utilization
Application and service telemetry
Unit economics and cost-to-serve metrics
Develop near real-time ingestion and processing capabilities.
Automate reconciliation between cloud provider invoices and financial reporting systems.
Forecasting & FinOps Intelligence
Enable forecasting and planning models using historical consumption, demand signals, and business growth trends.
Partner with FinOps practitioners to improve forecast accuracy and budget governance.
Support AI-enabled insights and decision automation capabilities.
Reporting & Governance
Deliver trusted, SOX-compliant datasets and reporting structures.
Establish data quality monitoring, lineage, and observability standards.
Create reusable semantic models that serve Finance, Engineering, and Executive stakeholders.
Cross-Functional Partnership
Collaborate with FinOps, Finance, Product Engineering, Architecture, and Data teams.
Mentor engineers and establish engineering standards for the FinOps platform.
Drive adoption of data products and self-service reporting capabilities.
Required Skills & Experience
8+ years of data engineering experience.
3+ years designing large-scale cloud-native data platforms.
Strong expertise in AWS and/or Google Cloud Platform data ecosystems.
Advanced SQL and Python development experience.
Experience with modern data platforms (BigQuery, Snowflake, Databricks, Redshift).
Expertise building ETL/ELT pipelines and data orchestration frameworks.
Experience with DevOps practices including CI/CD, Infrastructure as Code, and cloud automation.
Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Experience supporting AI/ML or Generative AI data platforms and solutions.
Experience with financial, billing, usage, or operational analytics datasets.
Strong communication and stakeholder management skills.
Preferred Qualifications
Experience with FinOps, cloud cost management, or cloud financial governance.
Experience with Terraform, GitHub Actions, Jenkins, or similar DevOps tools.
Experience with Vertex AI, or similar AI platforms, Generative AI tools and AI-enabled analytics platforms.
FinOps Certified Practitioner or Professional.
Bachelor's degree in Computer Science, Engineering, Analytics, or related field.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. 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. Learn more at ukg.com.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
View The EEO Know Your Rights poster
UKG participates in E-Verify. View the E-Verify posters here.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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
The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTL83235
- Position Id: c9b1cd595b16ad3755e05dbc08e1d28d
- Posted 1 day ago
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