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 🔗
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.
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.
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
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.
Top Skills
What We Do
Built by a data team for data teams, Atlan is the active metadata platform for the modern data stack. It stitches together metadata from various sources (Snowflake, dbt, Databricks, Looker, Tableau, Postgres, etc.) to create a unified data discovery, cataloging, lineage, and governance experience across all your data assets, from columns and queries to metrics and dashboards. Atlan facilitates a two-way movement of metadata, bringing context back into the tools and workflows that your data team uses every day — for example, in your BI tool when you wonder what a metric on the dashboard means.
A pioneer in the space, Atlan was named a Leader in Forrester Wave™️: Enterprise Data Catalogs for DataOps in 2022 and was recognized by Gartner seven times in 2021, including as a Cool Vendor in DataOps and in the inaugural Market Guide for Active Metadata Management. Today, we power pioneering data teams like WeWork, Plaid, Postman, Unilever, and Ralph Lauren. We recently raised a Series B, backed by top investors (including Insight Partners, Sequoia, and Salesforce Ventures) and founders & CEOs from the modern data stack (including Snowflake, Looker, and Stitch).
For more information, visit http://www.atlan.com/ or follow us on Twitter at AtlanHQ.
