Atlan

Customer Engineering Specialist

India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & AnalyticsIndustries

Requirements

Candidates should possess at least 5 years of experience in Technical Support at a level closest to engineering (L3 or higher), demonstrating strong proficiency in Python and Java. They must have experience with technical debugging, including code browsing (Python/Java), utilizing code debuggers, and analyzing logs. A solid understanding of computing fundamentals, encompassing operating systems (Linux), networks, storage, scripting, and REST APIs, is also required.

Responsibilities

As a Customer Engineering Specialist, you will challenge yourself to diagnose and fix complex product issues using your Python/Java expertise, analyze issue patterns, suggest improvements, and uncover new use cases to shape the future of the platform. You will craft solutions, enhance processes, contribute to public knowledge articles, guide users and your team, and create knowledge treasures for the company’s knowledge base. Additionally, you will train and mentor new team members as the Customer Happiness function scales, and communicate technical concepts clearly to anyone.

Skills

Python

Java

Code browsing

Debugger attachment

Log analysis

Linux

Networks

Storage

Scripting

REST APIs

Technical support

Troubleshooting

Issue analysis

Knowledge creation

User empowerment

Training

Mentoring

Code review

Bug fixing

Feature development

Kubernetes

AWS

Azure

GCP

SaaS

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.

Key Metrics

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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