Design, implement, and evolve scalable data infrastructure for cost and carbon.
Own end-to-end data pipelines for cloud cost, usage, and emissions.
Partner with data scientists, engineering, finance, and procurement to design data architectures.
Set standards for data modeling, orchestration, testing, and observability.
Build analytics-ready datasets for reporting, forecasting, and optimization.
Ensure data accuracy and timeliness for cost and emissions reporting.

🎯 Requirements

Senior data engineer with end-to-end production data systems experience.
Degree in CS/engineering or equivalent proven experience.
Designs scalable data architectures for large data and complexity.
Leads technical discussions and aligns partners on long-term solutions.
Proficient in Python, SQL, DBT, and orchestration tooling.
Experience with Spark, Flink, or Dataflow and cloud platforms (GCP).

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