Who We Are
Atlan is building the missing context layer for data and AI, helping enterprises close the AI value chasm. Today, 95% of AI pilots fail because AI systems don’t understand the context behind data: what it means, how it’s governed, and how it should be used.
Atlan connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on.
With Atlan, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and activate that context across analytics, operations, and AI workflows.Trusted by global enterprises like Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic, we’re backed by world-class investors including GIC, Insight Partners, Meritech, Peak XV, and Salesforce Ventures
Atlan is building the context layer for AI agents and applications - transforming how data platforms power the next generation of AI. We're looking for a Staff and Principal Engineer to help architect and scale the foundational data plane that makes it easy to build apps, agents, and solutions for the AI era.
You'll work on systems handling billions of assets, serving 100K+ users, with 99.99% availability targets. This is a high-agency role where you'll define technical direction, drive multi-quarter initiatives, and pioneer AI-native development practices.
What you will do 🤔
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
Must Have
8+ 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
Deep Expertise in One or More
Lakehouse architectures
Vector stores
Graph databases
Streaming systems
Strong to Have
Experience designing contract-driven or schema-first data platforms
Familiarity with Temporal or similar workflow orchestration systems
Data quality frameworks, observability systems, and cost attribution at scale
Experience supporting enterprise workloads with strict compliance requirements
CI/CD pipeline design and GitOps practices
Who You Are
You embrace AI-native development and want to pioneer new engineering workflows
You have high agency and take ownership of ambiguous problems
You're a strong async communicator who can influence without authority
You're comfortable with fast-changing priorities in a scale-up environment
You act as a force multiplier—elevating the technical bar for those around you
Team & Location (Remote)
You'll join a distributed team (India/Australia/US Remote) working closely with two distinguished engineers leading the data platform charter. We operate in weekly sprints with strong emphasis on ownership, velocity, and AI-native practices.
More About Us
Atlan is building the shared context layer that enterprises need so AI can operate on trusted, governed context. The conversation has moved from data leaders asking: “Can we trust the data in our stack?” to businesses asking: “Can we trust AI inside the business?”
We are the missing infrastructure for businesses becoming AI-forward - the connective tissue between their data stack, operational systems, and AI agents.
Recognized as an industry-leading metadata, catalog, and data governance platform, we’ve been named a Leader by both Gartner and Forrester across enterprise data catalogs, metadata management, and governance.
To learn more, visit www.atlan.com and follow us on LinkedIn
Equal Opportunity Employer
Atlan is committed to building an inclusive, diverse, and authentic workplace. We do not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other legally protected characteristic.
