Sr. Staff Data Engineer
About The Position
The Senior Staff Data Engineer, FinOps Platform & Reporting, leads the design, development, and evolution of UKG’s Unified FinOps Platform. The role architects and builds 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. It enables cloud financial governance across AWS and GCP through automated reporting, allocation, forecasting, and unit economics capabilities, and supports UKG’s FinOps 2.0 strategy and AskFinOps AI platform. The position provides technical leadership for FinOps data architecture and platform engineering, establishing data standards, governance, engineering practices, automation, and reliability. It develops and maintains enterprise-grade pipelines and data products for cloud financial reporting, cost allocation, usage analysis, forecasting, reconciliation, and AI-enabled insights. The engineer collaborates with FinOps, Engineering, Finance, Product, Architecture, and Data teams, while mentoring engineers and promoting adoption of data products and self-service reporting.
Requirements
- 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 ETL and 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, machine learning, or generative AI data platforms and solutions.
- Experience working 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 FinOps Certified Professional certification.
- Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field.
Responsibilities
- Lead the architecture and implementation of the Unified FinOps Data Platform.
- Design scalable, cloud-native data solutions for 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, CI/CD, infrastructure as code, and platform reliability initiatives.
- Enable AI, machine learning, 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.
- Develop data products for cost allocation, chargeback and showback, discount and commitment utilization, application and service telemetry, unit economics, 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.
- 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 datasets and reporting structures that support SOX compliance.
- Establish data quality monitoring, lineage, and observability standards.
- Create reusable semantic models for 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
- Performance-based bonus plan eligibility
- Restricted stock unit awards may be available as part of total compensation
- Company benefits and rewards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
