Technical Support Engineer

Technical Support Engineer 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 Why this role matters 🔗 As a Technical Support Engineer (TSE), you’ll be at the frontlines of this mission: helping customers resolve complex technical challenges, ensuring reliability across connectors and integrations, and shaping how Atlan scales support excellence as we grow. Whether you’re debugging a data pipeline issue, guiding a customer through an API configuration, or identifying recurring product signals that inform engineering fixes - your work directly contributes to customer success, product quality, and operational scale. At Atlan, we’re building high-performance, high-ownership teams across every function - and this role is a cornerstone. If you’re a technical problem solver who thrives at the intersection of product, engineering, and customer success, this is where you’ll do the best work of your career. Your Mission at Atlan 🌟 - Be the technical backbone of our Support team - troubleshoot complex product, integration, and data stack issues for customers. - Reduce Engineering dependency through deep debugging and clear, complete root-cause analyses (RCAs). - Collaborate cross-functionally with Product, Engineering, and Customer Success to resolve escalations and surface actionable insights. - Strengthen processes by building reusable documentation, playbooks, and automation that scale support quality. - Champion the customer experience — resolve every issue with speed, clarity, and empathy. - Continuously learn and grow as a product and data expert across tools like Fivetran, Snowflake, Databricks, dbt, and beyond. What Makes You a Great Fit 😍 - 6–7+ years of experience in technical support or similar roles within the modern data stack ecosystem. - Proven ability to troubleshoot complex technical issues across APIs, connectors, authentication, and integrations - reducing dependency on Engineering through deep debugging and structured RCA. - Strong technical expertise in: - Kubernetes, containerized networking, and ArgoCD for deployment and service debugging. - Cloud platforms: AWS, GCP, Azure. - Advanced SQL for performance analysis and data troubleshooting. - Java and API-level debugging, front-end troubleshooting, and Linux performance diagnostics. - Ability to read and interpret complex codebases (any language) and provide meaningful insights to Engineering. - Hands-on experience with modern data stack tools — Snowflake, Databricks, BigQuery, dbt, Fivetran — and familiarity with metadata management or data catalog platforms. Beyond strong technical skills, an ideal candidate brings analytical rigor, empathy, and a builder’s mindset — improving not just issues, but the systems around them. ** Important note: This is a remote role with working hours from 09:00 - 17:00 PST WHY ATLAN? Joining Atlan means being part of a global movement to help data teams do their life’s best work. Here’s what you can expect: - 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 (for most roles), so your total rewar ... (truncated, view full listing at source)