Atlan

Implementation Engineer

India

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management, SaaS, BiotechnologyIndustries

Requirements

Candidates should possess 5+ years of experience as a data engineer, with deep expertise in data pipeline development and system integration, along with proficiency in modern data technologies, ETL processes, and implementation methodologies. Strong customer excellence and problem-solving skills are essential, as is the ability to translate complex technical concepts into actionable solutions and communicate effectively with both technical and non-technical stakeholders.

Responsibilities

As an Implementation Engineer at Atlan, you will pioneer technical excellence by leading complex data implementation projects, improving product coverage through collaboration with Product and Engineering organizations, bridging technical gaps by serving as a crucial link between customer needs and technical solutions, and driving customer success by transforming technical requirements into practical, efficient solutions. You will work with Fortune 500 customers to integrate their complex data estates, serve as a technical leader guiding customers through implementations, create seamless connections between various data systems, and plan and execute implementation roadmaps while managing technical risks and dependencies.

Skills

Data Implementation
Data Integration
Technical Consultation
Project Management
Data Systems
Customer Success
Metadata Platform

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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