Opportunity Description
What You’ll Do Architecture & Technical Leadership
Lead system‑level design for scalable, reliable, and high‑performance data platforms supporting batch, streaming, and real‑time use cases.
Drive architectural improvements across data pipelines, metadata layers, APIs, and service dependencies.
Partner with Product, Backend, and AI teams to translate complex business requirements into robust technical solutions.
Data Engineering & Platforms
Architect, build, and optimize large‑scale data pipelines using PySpark, Dataproc, Airflow, GCS, Parquet, and GCP services.
Design and maintain data models that support analytics, reporting, experimentation, and measurement at scale.
Implement strong data quality, validation, observability, and monitoring practices to ensure data trust and reliability.
Backend & API Enablement
Contribute to the design and evolution of backend services and APIs that expose measurement, fi...
Lead system‑level design for scalable, reliable, and high‑performance data platforms supporting batch, streaming, and real‑time use cases.
Drive architectural improvements across data pipelines, metadata layers, APIs, and service dependencies.
Partner with Product, Backend, and AI teams to translate complex business requirements into robust technical solutions.
Data Engineering & Platforms
Architect, build, and optimize large‑scale data pipelines using PySpark, Dataproc, Airflow, GCS, Parquet, and GCP services.
Design and maintain data models that support analytics, reporting, experimentation, and measurement at scale.
Implement strong data quality, validation, observability, and monitoring practices to ensure data trust and reliability.
Backend & API Enablement
Contribute to the design and evolution of backend services and APIs that expose measurement, fi...
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