Senior Data Platform Engineer - W2 Requirement---Need 13+ Years of exp

Job Description

Lead development and operation of enterprise data platform services, collaborating with product managers, data scientists, and engineers to deliver scalable capabilities for data ingestion, transformation, quality, and observability. Guide technical design and delivery, promote testing and engineering excellence, mentor colleagues, and help prepare the platform for AI-ready data systems and autonomous agents.

Requirements: Requires 10+ years of professional software development experience, production system ownership, strong Python and SQL skills, and experience with APIs, Azure, Databricks, and PySpark. Also seeks knowledge of event-driven architecture, Domain-Driven Design, automated testing, CI/CD, Agile practices, and production performance and debugging; Databricks and Azure certifications are preferred.

Key Skills: Python, FastAPI, SQL, Microsoft Azure, Azure Kubernetes Service, Databricks, PySpark, Domain-Driven Design, Event-Driven Architecture, Git, Automated Testing, RESTful API Design, CI/CD, Agile Methodologies, Platform Engineering, Mentoring