Staff Engineer Data Platform

You will design and implement a knowledge graph and multimodal API platform. You will build DataOps infrastructure and integrations, establish data-modeling standards, evaluate storage and compute technologies, create developer tools and SDKs, and improve the platform's reliability, security, and operational quality.

Responsibilities

• Lead the architecture and implementation of a knowledge graph and multimodal API layer
• Maintain storage, indexing, query, ingestion, and compute infrastructure
• Establish schema modeling, relationship, lineage, and schema evolution practices
• Build APIs for agentic data access
• Develop storage, compute, deployment, benchmark, and operational reference architectures
• Turn downstream workflows into reusable platform capabilities
• Deliver integrations for simulation, testing, training, and edge-device data
• Create self-service APIs, SDKs, tools, examples, and diagnostics
• Evaluate data and AI infrastructure technologies and guide implementation
• Establish observability, reliability, security, data integrity, disaster recovery, and lifecycle practices

Requirements

• Distributed systems
• Data platform
• Storage systems
• Backend
• Go
• Python
• Data modeling
• API design
• Schema evolution
• Identity
• Consistency
• Indexing
• Query planning
• Relational database
• Graph database
• Object storage
• Columnar database
• File storage
• Data ingestion
• Kubernetes
• Linux
• Networking
• Security
• Observability
• Infrastructure as Code
• Platform engineering
• Apache Arrow
• Parquet
• OpenAPI
• AsyncAPI
• WebSocket
• Terraform
• Helm
• GitOps
• Ray
• Kafka
• NATS
• Redpanda
• Machine learning
• Experiment tracking
• Dataset management
• Model versioning
• Authorization
• Data governance
• Auditability

Benefits

• Bonus
• Benefits
• Equity
• Temporary benefits package after 60 days of employment