Sr. Staff Software Engineer- Eng
About The Position
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 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 powering UKG’s FinOps 2.0 strategy and AskFinOps AI platform.
Requirements
- 8+ years of data engineering experience.
- 3+ years 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 (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.
Nice To Haves
- 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.
Responsibilities
- 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 GCP 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.
- 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, and 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.
- 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.
- 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.
- 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.
Benefits
- flexibility that’s real
- benefits you can count on
- team that succeeds together
- performance-based bonus plan
- restricted stock unit awards
- Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
