Data Platform Engineer

Responsibilities

• Own data-platform projects end to end: clarify the problem, evaluate alternatives, design the system, implement and roll it out safely, document it, and operate it in production.
• Design and evolve reliable, scalable, secure, and cost-effective systems for data ingestion, movement, storage, processing, and access.
• Build and improve batch and streaming pipelines and the platform capabilities that support them.
• Develop maintainable software, automation, infrastructure, and CI/CD workflows that make platform changes safer and more repeatable.
• Improve observability, performance, capacity management, incident response, recovery, and operational readiness across the platform.
• Incorporate security, access control, data protection, and governance requirements into platform design and delivery.
• Partner with engineering, analytics, security, compliance, and business stakeholders to understand needs, explain tradeoffs, and deliver pragmatic solutions.
• Evaluate and learn new technologies as platform needs evolve, applying sound engineering judgment rather than defaulting to a familiar tool.
• Use AI tools thoughtfully to accelerate research, design, implementation, testing, debugging, and documentation while critically validating the output.
• Contribute to technical direction, design reviews, documentation, and mentoring across a small, high-impact team working across US and India time zones.

Languages