Responsibilities

• Lead and Architect end-to-end data solutions, providing technical direction and architectural oversight for complex data pipelines and platforms, ensuring robust performance, scalability, data quality, security, and compliance.
• Drive Strategic Initiatives within small, co-located squads (4-7 person teams), fostering an environment of high communication, minimal coordination overhead, and collective ownership to deliver impactful data products.
• Act as a Player/Coach , leading by example in hands‑on development while actively mentoring and elevating the technical capabilities of junior and mid‑level engineers, cultivating a culture of technical excellence and innovation.
• Design, Develop, and Optimize highly efficient and resilient data ingestion, processing, and transformation pipelines using advanced Python and PySpark techniques for petabyte‑scale datasets.
...