Full-Time

Technical Support Engineer

US

Confirmed live in the last 24 hours

Atlan

Atlan

201-500 employees

Unified platform for data management and collaboration

Data & Analytics
Enterprise Software

Mid

Remote in USA

Category
Customer Support
Customer Success & Support
IT & Security
Required Skills
PHP
Kubernetes
Microsoft Azure
Python
SQL
Java
AWS
REST APIs
Linux/Unix
Databricks
Snowflake
Google Cloud Platform
Requirements
  • 4+ years of: Customer Support, Cloud Support, Technical Support, or Product Support Engineer experience.
  • Expertise in data-related domains: data catalogs, governance, quality, observability, etc.
  • Technical prowess: SQL, REST APIs, Linux/CLI/Terminal, Kubernetes, Cloud technology (AWS, Azure, GCP).
  • Familiarity with DBT/Snowflake/Databricks, prior experience with data platforms and governance, strong customer relationship building skills.
  • Good to have the understanding of at least one of the programming languages (PHP, Java, Python).
Responsibilities
  • Collaborate with top-tier data teams, pushing the boundaries of data discovery, governance, and quality.
  • Be a key player in revolutionizing how organizations unlock data's true potential.
  • Directly resolve customer concerns and inquiries through support tickets, empowering them to achieve their data-driven goals.
  • Deepen your expertise in data catalogs, governance, quality, observability, warehouses, lakes, CDPs, and beyond.
  • Seamlessly troubleshoot, analyze, and resolve issues raised in support tickets, guiding customers on platform intricacies.
  • Team up with engineers to address pain points and elevate the Atlan experience.
  • Contribute to an expansive knowledge base, empowering future data explorers.
  • Train and mentor new team members as we scale our Customer Happiness function.

Atlan provides a platform for data management that helps teams access, understand, and trust their data. The platform features a unique data catalog that organizes metadata, which helps eliminate data silos and improves collaboration among data teams. It integrates with various industry tools, creating a comprehensive data stack that connects data producers and consumers, promoting data democratization. Atlan's services are personalized and focus on collaboration, with automated metadata management. The company likely uses a pay-as-you-go pricing model, making it suitable for businesses of all sizes. Atlan stands out from competitors with its strong customer service, known for quick response times, and aims to enhance data accessibility and streamline data management processes for its clients.

Company Stage

Series C

Total Funding

$195.5M

Headquarters

Singapore, Singapore

Founded

2019

Growth & Insights
Headcount

6 month growth

0%

1 year growth

24%

2 year growth

25%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $105M Series C funding round elevates Atlan's valuation to $750M, indicating strong investor confidence and financial health.
  • Atlan's platform enhances data readiness for AI applications, making it a critical tool for enterprises looking to leverage AI.
  • The company's flexible pay-as-you-go pricing model makes it accessible for businesses of all sizes, fostering widespread adoption.

What critics are saying

  • The competitive landscape in data management and AI governance is intense, requiring Atlan to continuously innovate to maintain its edge.
  • Rapid growth and scaling could lead to operational challenges and potential service disruptions.

What makes Atlan unique

  • Atlan's unique data catalog and metadata activation eliminate data silos, enhancing collaboration within data teams unlike traditional data management tools.
  • The platform's integration with various industry-leading tools creates a comprehensive data stack, reducing friction between data producers and consumers.
  • Atlan's strong customer service with instant response times sets it apart in the data management market.

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