Sr. Staff Data Engineer

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.

About the team
The FinOps team partners with Engineering, Finance, Data & Analytics, and Product teams to strengthen cloud financial governance across UKG. The team is building the data foundation for UKG’s FinOps 2.0 strategy and AskFinOps artificial intelligence platform.

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 will enable accurate cloud financial governance across Amazon Web Services (AWS) and Google Cloud Platform (GCP) 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 that supports UKG’s FinOps 2.0 strategy and AskFinOps AI platform.

Key responsibilities:

Platform architecture and engineering leadership

- Lead the architecture and implementation of the Unified FinOps Data Platform.

- Design scalable, cloud-native data solutions that support cost allocation, forecasting, optimization, and reporting.

- Define data standards, governance frameworks, and engineering best practices.

- Serve as the technical lead for FinOps data architecture across AWS and GCP environments.

- Lead DevOps automation, continuous integration and continuous delivery (CI/CD), infrastructure as code, and platform reliability initiatives.

- Enable artificial intelligence, machine learning, and generative artificial intelligence capabilities through scalable data architectures and governed data products.

- Support AskFinOps AI use cases, including forecasting, anomaly detection, and intelligent optimization.

Data products and pipeline development

- Build and maintain enterprise-grade pipelines for cloud billing and usage data.

- Develop data products that support cost allocation, chargeback and showback, discount and commitment utilization, application and service telemetry, and unit economics.

- Create data products that support cost-to-serve metrics and financial reporting.

- Develop near-real-time ingestion and processing capabilities.

- Automate reconciliation between cloud provider invoices and financial reporting systems.

Forecasting and 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 artificial intelligence-enabled insights and decision automation capabilities.

Reporting and governance

- Deliver trusted datasets and reporting structures that support Sarbanes-Oxley (SOX) compliance.

- 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.

About you:

Basic qualifications:

- 8+ years of data engineering experience.

- 3+ years of experience designing large-scale, cloud-native data platforms.

- Strong expertise in AWS and/or GCP data ecosystems.

- Advanced SQL and Python development experience.

- Experience with modern data platforms such as BigQuery, Snowflake, Databricks, or Redshift.

- Expertise building extract, transform, load (ETL) and extract, load, transform (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 artificial intelligence, machine learning, or generative artificial intelligence data platforms and solutions.

- Experience working 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 artificial intelligence platforms, generative artificial intelligence tools, and AI-enabled analytics platforms.

- FinOps Certified Practitioner or FinOps Certified Professional certification.

- Bachelor’s degree in Computer Science, Engineering, Analytics, or a 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.

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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 [email protected] .

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 https://www.ukg.com/about-us/careers/benefits