Technical Support Engineer at Atlan

United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, DataIndustries

Requirements

6–7+ years of experience in technical support or similar roles within SaaS or 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
Strong technical expertise in: Cloud platforms: AWS, GCP, Azure
Strong technical expertise in: Advanced SQL for performance analysis and data troubleshooting
Strong technical expertise in: 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
Analytical rigor, empathy, and a builder’s mindset — improving not just issues, but the systems around them
Availability for remote role with working hours from 7:30 am - 4:30pm PST

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

Skills

Technical Support

Troubleshooting

Data Pipelines

API Configuration

Integrations

Connectors

Debugging

Customer Success

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Singapore, SingaporeHeadquarters

2019Year Founded

$195.5MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.

Rapid AI evolution may require Atlan to invest heavily in R&D.

Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.

The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.

Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.

The demand for data democratization tools is increasing, benefiting Atlan's offerings.

Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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