Customer Centric Engineer at DataHub

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DataHub

Customer Centric Engineer

Remote

Full Time

#Engineering

#Data Platform

#Customer Support

#Python

#SQL

#React

#TypeScript

#JavaScript

#Snowflake

#BigQuery

#DBT

#Airflow

#Kubernetes

#Docker

#AWS

#Azure

#GCP

DataHub is looking for a Customer Centric Engineer

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Have you ever wondered what it would be like to help thousands of global enterprises bring order to their data chaos? At DataHub, we are building the leading AI and Data Context Platform, trusted by industry giants like Apple, Netflix, and Visa. With a thriving open-source community of over 13,000 members, we are at the forefront of the metadata graph revolution. We are looking for someone who is as passionate about solving complex technical puzzles as they are about ensuring customer success to join our team.

What you bring

As a Senior Customer Centric Engineer, you will serve as the crucial link between our users and our internal product teams. This is a full-time, remote role available to anyone, anywhere. You will leverage your deep technical knowledge in engineering and data platforms to guide our customers through their journey with DataHub. Your core responsibilities include:

  • Providing advanced technical troubleshooting for software configurations, integrations, and complex data pipeline issues.
  • Acting as a trusted advisor to help customers optimize their usage of DataHub and proactively address potential inefficiencies.
  • Partnering with our engineering and product teams to resolve escalations and influence the future evolution of our platform.

Requirements

We are looking for a candidate who possesses a strong foundation in software and data engineering. You should be highly proficient in Python and SQL, with a solid understanding of frontend technologies like TypeScript, JavaScript, and React. Experience with the modern data stack, including tools like Snowflake, BigQuery, dbt, and Airflow, is essential. You should also be comfortable navigating cloud environments such as AWS, Azure, or GCP and have practical experience with containerization and orchestration tools like Docker and Kubernetes. Excellent communication skills in English are required, as you will be explaining technical concepts to a variety of stakeholders. A bachelor’s degree in Computer Science or equivalent practical experience is expected, along with a collaborative mindset and an appetite for the fast-paced nature of a growing startup.

What we offer

We believe in supporting our team members with a comprehensive package that values your contributions and long-term growth. We offer a competitive salary alongside the following benefits:

  • Equity compensation to ensure you have a meaningful ownership stake in our success.
  • Unlimited vacation time to help you maintain a healthy work-life balance.
  • Full medical, dental, and vision insurance coverage.
  • A flexible work location policy supported by a dedicated coworking budget.

How to Apply

If you are ready to make a direct impact on the future of enterprise AI infrastructure and enjoy working in a high-caliber, collaborative environment, we would love to meet you. Please reach out to us with your application to start the conversation about how you can help us scale and support our global customer base.

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DataHub

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Company Size

101-250

Markets

Software
Data Management

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