Platform Architect (Data Platform)
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Requirements
• 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 • Graph databases • Streaming systems • 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 • 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.
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 • What makes you a match? 😍
Benefits
• Competitive Compensation: We benchmark at the top of the market and keep compensation simple: strong base salary, performance‑based variable pay, and impact‑driven equity, so your total rewards grow in step with the value you create over time. • Health & Wellness: From Day‑1 health, dental, vision, and mental health to pet‑care perks and flexible health stipends, we design benefits offerings that lead in each country we're in. • Flexible Time Off & Leave Policies: We trust you to own your energy: flexible time off and modern leave so you can unplug properly, support yourself and your loved ones, and come back ready to drive an impact. • Accelerated Growth & Learning: Develop at an uncommon velocity through cutting-edge tech, complex implementations, and an experienced team that values mastery. • AI Native Culture: Atlan is where AI-native builders come to build the systems the future of work will run on. AI isn’t an add-on, it’s woven into how we build, think, and work every day, empowering every Atlanian to move faster and create a bigger impact. • Global, Remote-First, High-Trust: Work from anywhere with a diverse team across 15+ countries, in a trust-first, async environment that gives you true flexibility and ownership over how you work.