[Remote] Technical Support Engineer at Atlan

India

Atlan Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, DataIndustries

Requirements

  • Proven experience supporting or troubleshooting SaaS, data, or integration products
  • Hands-on familiarity with SQL, REST APIs, and authentication mechanisms (OAuth, service accounts, tokens, etc.)
  • Understanding of modern data stack components — Snowflake, Databricks, Fivetran, BigQuery, dbt, or similar
  • Exceptional communication and documentation skills — clear, empathetic, and structured
  • A strong ownership mindset — proactive, curious, and driven to deliver results without waiting for direction

Responsibilities

  • Be the technical backbone of our Support team — troubleshoot complex product, integration, and data stack issues for our customers
  • Reduce Engineering dependency by performing deep debugging and documenting clear, complete RCAs (root-cause analyses)
  • Partner cross-functionally with Product, Engineering, and Customer Success to escalate issues and surface actionable insights
  • Contribute to process maturity — create reusable documentation, playbooks, and automation scripts that help scale support quality
  • Champion the customer experience — ensure every issue is resolved with speed, clarity, and empathy
  • Grow as a product and data expert — learn continuously across tools like Fivetran, Snowflake, Databricks, dbt, and beyond

Skills

Key technologies and capabilities for this role

TroubleshootingDebuggingData PipelinesAPI ConfigurationConnectorsIntegrationsCustomer SupportTechnical Support

Questions & Answers

Common questions about this position

Is this Technical Support Engineer role remote?

Yes, the role is fully remote.

What technical skills are required for this position?

Required skills include hands-on familiarity with SQL, REST APIs, and authentication mechanisms like OAuth, service accounts, and tokens, plus understanding of modern data stack components such as Snowflake, Databricks, Fivetran, BigQuery, or dbt. Proven experience supporting or troubleshooting SaaS, data, or integration products is also essential.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Atlan?

Atlan builds high-performance, high-ownership teams across every function, emphasizing technical problem-solving at the intersection of product, engineering, and customer success, with a focus on customer experience through speed, clarity, and empathy.

What makes a strong candidate for this Technical Support Engineer role?

A great fit has proven experience supporting SaaS, data, or integration products, hands-on skills with SQL, REST APIs, authentication, and modern data stack tools, plus the ability to troubleshoot complex issues, perform root-cause analyses, and contribute to scalable processes.

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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