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Azure Data Engineer

Roles & Responsibilities

  • Hands-on experience with Azure Cost Management and Billing data in production environments.
  • Strong understanding of how Azure billing maps to infrastructure, including VM sizes/series, managed disks, storage tiers, networking charges, and platform services.
  • Experience advising on and implementing Azure Reservations and Azure Savings Plans, including handling fees, usage, and eligible SKUs.
  • Experience classifying and normalizing large volumes of Azure SKUs into logical product hierarchies for FinOps and analytics.

Requirements:

  • Develop and maintain data pipelines and analytics for Azure Cost Management to enable FinOps insights.
  • Analyze Azure billing data (SQL and/or KQL) and map it to infrastructure metadata for cost optimization and reporting.
  • Advise on and implement Azure Reservations and Savings Plans, focusing on fees, usage, and eligible SKUs.
  • Collaborate with stakeholders in staff augmentation to provide senior advisory guidance on cloud cost governance and FinOps best practices.

Job description

Required experience

· Deep, hands-on experience working with Azure Cost Management and Billing data in real production environments.

· Strong understanding of how Azure billing maps to actual infrastructure, including VM sizes and series, managed disks, storage tiers, networking charges, and platform services.

· Proven experience advising on and implementing Azure Reservations and Azure Savings Plans, including nuanced handling of fees, usage, and eligible SKUs.

· Experience classifying and normalizing large volumes of Azure SKUs into logical product hierarchies suitable for FinOps and analytics use cases.

· Ability to read, review, and reason about SQL and/or KQL used for billing data transformation, with the capability to contribute hands on when required.

· Prior experience in FinOps, cloud economics, cloud billing, or cost and usage analytics roles.

· Comfortable operating in a senior advisory capacity within a staff augmentation engagement.

Nice to have

· Experience aligning Azure billing models with AWS CUR and GCP billing exports.

· Familiarity with open table formats such as Iceberg and cloud agnostic analytics stacks.

· Experience working with custom or nonvendor standard cost models rather than off the shelf FinOps frameworks.

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