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 o...