Senior Platform Engineer - AI Data Core

Atlan; United States; Remote; USD 180,000 - 250,000; Full time

Job summary

Atlan is seeking a Principal Engineer to architect and scale the foundational data plane for the AI era. You will govern platforms handling billions of assets and 100K+ users with 99.99% availability. This high-autonomy role will set technical direction, drive multi-quarter initiatives, and push AI-native development practices.

You will design platform services, manage lakehouse and vector/graph infrastructures, and mentor engineers while shaping standards and RFCs across teams.

Qualifications

• 10+ years in platform engineering, infrastructure, or backend systems at a SaaS company.
• Experience building enterprise-scale distributed systems at scale.
• Deep expertise in multi-tenant architectures and tenant isolation strategies.
• Strong Kubernetes, containerization, and cloud infrastructure skills (AWS/GCP/Azure).
• Hands-on experience with distributed systems patterns - service mesh, event-driven architecture, orchestration.
• Track record of driving multi-quarter technical initiatives from concept through production at scale.

Responsibilities

• Design and build platform services - APIs, infrastructure components, runtime systems, and ingestion frameworks at enterprise scale.
• Architect the context store that transforms lakehouse infrastructure into AI-ready systems with multimodal capabilities (structured, unstructured, vector, graph).
• Solve complex multi-tenant isolation and scaling problems for enterprise SaaS.
• Design data contracts governing ingestion, validation, processing, routing, storage, and serving across heterogeneous systems.
• Own critical shared infrastructure including lakehouse (Iceberg/Polaris), vector stores, graph databases, and OLTP systems.
• Drive technical standards through RFCs, architecture reviews, and documentation.
• Mentor senior engineers and influence architecture decisions across teams.
• Write production code using AI-assisted development tools (Claude Code, Cursor).
• Debug distributed systems issues across Kubernetes, workflow orchestration, and microservices.

Skills

Platform engineering

Distributed systems

Multi-tenant architectures

Kubernetes & cloud (AWS/GCP/Azure)

Service mesh & event-driven design

Production-scale initiatives

Tools

Iceberg/Polaris lakehouse

Vector stores

Graph databases

OLTP systems

Job description

Atlan is seeking a Principal Engineer to architect and scale the foundational data plane for the AI era. You will govern platforms handling billions of assets and 100K+ users with 99.99% availability. This high-autonomy role will set technical direction, drive multi-quarter initiatives, and push AI-native development practices.

You will design platform services, manage lakehouse and vector/graph infrastructures, and mentor engineers while shaping standards and RFCs across teams.