15 days ago
Base Salary
$146k - $209k/yr
Responsibilities
- Lead the architecture and implementation of the Unified FinOps Data Platform.
- Design scalable cloud-native data solutions for cost allocation, forecasting, optimization, reporting, and unit economics.
- Define data standards, governance frameworks, engineering practices, quality monitoring, lineage, and observability standards.
- Serve as technical lead for FinOps data architecture across AWS and GCP.
- Build and maintain enterprise-grade pipelines for cloud billing, usage, telemetry, and operational data.
- Develop data products for chargeback, showback, discount and commitment utilization, cost-to-serve metrics, financial reporting, and self-service analytics.
- Create near-real-time ingestion and processing capabilities and automate reconciliation between cloud invoices and financial reporting systems.
- Enable forecasting, anomaly detection, intelligent optimization, and other AI-supported FinOps use cases.
- Lead DevOps automation, CI/CD, infrastructure as code, and platform reliability initiatives.
- Create reusable semantic models for Finance, Engineering, and executive stakeholders.
- Collaborate with cross-functional FinOps, Finance, Product, Architecture, Engineering, and Data teams.
- Mentor engineers, establish platform standards, and drive adoption of FinOps data products.
Requirements
- At least 8 years of data engineering experience.
- At least 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 BigQuery, Snowflake, Databricks, or Redshift.
- Expertise building ETL and ELT pipelines and using data orchestration frameworks.
- Experience with DevOps practices, CI/CD, infrastructure as code, and cloud automation.
- Experience with 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.
- Preferred experience with FinOps, cloud cost management, or cloud financial governance.
- Preferred experience with Terraform, GitHub Actions, Jenkins, or similar DevOps tools.
- Preferred experience with Vertex AI, generative AI tools, and AI-enabled analytics platforms.
- FinOps Certified Practitioner or FinOps Certified Professional certification is preferred.
- A bachelor’s degree in Computer Science, Engineering, Analytics, or a related field is preferred.
Benefits
- The position offers a base pay range of $145,600 to $209,300, with potential performance-based bonus and restricted stock unit awards excluded from the salary extraction.
- UKG states that it provides flexible work arrangements and benefits and rewards.
- The role supports work across AWS and GCP cloud environments.
Tech Stack
Amazon RedshiftAWSDatabricksDockerGitHub ActionsGoogle BigQueryGoogle Cloud PlatformJenkinsKubernetesPythonSnowflakeSQLTerraform
Categories
Data Engineering
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.