FinOps AI Data Engineer, Principal
About The Position
Within the Technology & Security Organization, the FinOps AI Data Principal will design, build, and scale the core FinOps Data Platform. This platform powers AI telemetry, scalable reporting, cloud allocation, forecasting, optimization, and comprehensive AI cost visibility. You will enable enterprise-wide visibility into cloud and generative AI consumption by building trusted data pipelines, robust data models, and standardized, governed FinOps data products. You will enable AI showback/chargeback readiness, forecasting, anomaly detection, unit economics, and optimization insights through standardized, governed FinOps data products. The HQ location is flexible within the Bay Area Region and will be agreed upon by the hiring leader and successful candidate. The position is hybrid working from your remote office and in-person at the Oakland Corporate Office 1-2x per week or based on business needs or company requirements.
Requirements
- BA/BS in computer science, management information systems, or related field of study, or equivalent work experience
- 10 years of experience with multiple data engineering/ETL ecosystems
- 3 years of experience in machine learning algorithm deployment and machine learning operations
- Experience in leading development teams
Nice To Haves
- 5+ years of experience building production-grade, distributed data pipelines
- Deep knowledge of multi-cloud billing mechanics (AWS CUR, Azure FOCUS datasets) and FinOps Framework principles.
- Proven experience tracking and modeling AI infrastructure costs, including LLM API usage, GPU clusters (e.g., NVIDIA Triton, Kubernetes), and vector database spend.
- Hands-on experience with cloud data warehouses and lakehouses such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Strong background in designing schemas for complex financial allocation, amortization, shared-cost showback, and forecasting.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- FinOps Foundation Certified (FOCUS) and Professional designation desired.
Responsibilities
- Build and enhance the FinOps data set, data model, reporting pipeline, and AI usage/cost telemetry integrations.
- Translate billing, allocation, tokenomics, AI Gateway, AI DLC Tool, AI Agent Tool, LLM, workspace, user, AppID, use-case, order-number, model-provider, and model-name requirements into scalable data and reporting capabilities.
- Enable mandatory metadata ingestion, FinOps Data Lake integration, FOCUS-aligned AI data modeling, full-cost showback dependencies, and AI chargeback reporting foundations.
- Standardize, simplify, and automate FinOps reporting, AI showback/chargeback views, optimization insights, anomaly detection inputs, and process workflows.
- Expand data engineering capacity for Snowflake, PowerBI, Flexera, AI Gateway, external AI usage sources, and cloud provider cost data pipelines.
- Build and maintain AI usage telemetry, tokenomics data sets, allocation logic, unit economics inputs, and AI showback/chargeback reporting foundations.
- Automate data quality checks, reporting refreshes, anomaly detection inputs, optimization insight pipelines, and consumption trend data for cloud and AI spend.
- Support inventory and data capture for LLM usage outside the Enterprise AI Gateway, including known external GenAI and SageMaker use cases.
Benefits
- discretionary incentive compensation programs
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Associate degree
