[Remote] Implementation Engineer at Atlan

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, DataIndustries

Requirements

5+ years of experience as a data engineer, consultant or other field engineering role, with deep expertise in data pipeline development and system integration
Proven track record of managing technical relationships with enterprise clients and delivering successful implementations
Strong analytical skills with the ability to translate complex technical concepts into actionable solutions
Excellence in presenting technical solutions to both technical and non-technical stakeholders
Proficiency in modern data technologies, ETL processes, and implementation methodologies
Working knowledge of orchestration tools like Docker or Kubernetes

Responsibilities

Work with Fortune 500 customers to integrate their complex data estates to maximize their value with Atlan
Guide customers through complex implementations, providing thought leadership on data engineering best practices and optimization
Create seamless connections between various data systems, ensuring smooth data flow and system compatibility
Plan and execute implementation roadmaps while managing technical risks and dependencies
Lead complex implementation projects that transform how organizations handle and process their data at scale
Partner closely with Product and Engineering organizations to grow the Atlan Platform and connector ecosystem
Partner with customers as the key point of contact to ensure successful technical project delivery
Transform technical requirements into practical, efficient solutions that exceed customer expectations

Skills

Key technologies and capabilities for this role

Data EngineeringImplementationIntegrationsConnectorsMetadata PlatformsTechnical LeadershipCustomer SuccessData Systems

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote.

What salary or compensation does this role offer?

This information is not specified in the job description.

What experience and skills are required for this Implementation Engineer role?

Candidates need 5+ years of experience as a data engineer, consultant, or field engineering role with expertise in data pipeline development and system integration, proficiency in modern data technologies, ETL processes, orchestration tools like Docker or Kubernetes, strong analytical and communication skills, and a proven track record with enterprise clients.

What is the company culture like at Atlan?

Atlan fosters a mission-driven environment focused on transforming data chaos into clarity, empowering data teams across industries, and shaping a future where data drives extraordinary outcomes, with recognition as leaders by Gartner and Forrester.

What makes a strong candidate for this role?

A strong candidate has 5+ years in data engineering or similar roles with deep technical expertise in pipelines, integrations, ETL, and tools like Docker/Kubernetes, plus proven customer success, problem-solving, and communication skills for enterprise clients.

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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