Technical Support Engineer

Atlan

13d•Remote

About The Position

Data is at the core of modern business, yet many teams struggle with its overwhelming volume and complexity. At Atlan, we’re changing that. As the world’s first active metadata platform, we help organisations transform data chaos into clarity and seamless collaboration. From Fortune 500 leaders to hyper-growth startups, from automotive innovators redefining mobility to healthcare organisations saving lives, and from Wall Street powerhouses to Silicon Valley trailblazers — we empower ambitious teams across industries to unlock the full potential of their data. Recognised as leaders by Gartner and Forrester and backed by Insight Partners, Atlan is at the forefront of reimagining how humans and data work together. Joining us means becoming part of a movement to shape a future where data drives extraordinary outcomes. Why this role matters 🔗 Atlan is building the future of the Modern Data Collaboration Platform, and our customers - from fast-growing startups to global enterprises - rely on us to connect and manage their entire data ecosystem. 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.

Requirements

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.

Responsibilities

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.

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