Sr. Platform Engineer

Required Skills & Experience

10+ years of professional software development experience, including ownership of production systems\nExperience working on a Platform as a Data Engineer or Software Engineer\nProficiency in Python and experience building APIs using FastAPI or comparable frameworks\nStrong SQL skills and experience working with structured data\nExperience working in cloud environments, especially Microsoft Azure (Function Apps, Service Bus, AKS, etc.)\nExperience with Databricks and PySpark for data-intensive applications\nExperience with Domain-Driven Design and event-driven architecture\nExperience with version control systems (Git, SVN)\nDeep familiarity with automated testing frameworks (e.g., Pytest, Unittest)

Nice to Have Skills & Experience

Databricks certified Data Engineer Professional\nCloud provider certifications, such as Azure Certified Solutions Architect

Job Description

Drive product development: Collaborate with product managers and stakeholders to define, scope, and lead new feature development that meets evolving user needs and aligns with enterprise priorities.\nDeliver platform-scale services: Contribute to the implementation and operation of core data platform capabilities using technologies such as Python, FastAPI, Azure Kubernetes Service (AKS), and Databricks.\nPromote engineering excellence: Lead by example in writing well-tested, maintainable code. Champion unit and integration testing and contribute to automated validation pipelines.\nMentor and grow others: Provide coaching, feedback, and technical guidance to junior and mid-level engineers, fostering a culture of learning and continuous improvement.\nShape how we work: Lead retrospectives and technical design discussions, identifying opportunities to improve delivery pipelines, team workflows, and system reliability.\nDrive estimation and execution: Partner with product managers to scope, estimate, and plan releases for mid- to large-scale initiatives, balancing technical constraints with business value.\nInnovate with peers: Collaborate across engineering teams to bring new perspectives to shared problems, drive reusability, and contribute to a modern, flexible data management platform.\nElevate platform engineering: Evolve engineering best practices across the team and platform, contributing to a culture of craftsmanship, experimentation, and operational excellence.\nAnticipate future needs: Contribute to the evolution of our platform as we prepare for AI-readiness, including foundational support for intelligent observability and autonomous agents.