Job 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 o...