Customer Centric Engineer, DataHub

Salary not provided

+ Stock options

SQL

React

AWS

TypeScript

GCP

JavaScript

Python

Tableau

Looker

Airflow

Azure

Snowflake

BigQuery

dbt

Senior and Expert level

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

Metadata management platform

Open for applications

Metadata management platform

101-200 employees

B2BEnterpriseBig dataSaaSData Integration

Open for applications

Salary not provided

+ Stock options

SQL

React

AWS

TypeScript

GCP

JavaScript

Python

Tableau

Looker

Airflow

Azure

Snowflake

BigQuery

dbt

Senior and Expert level

San Francisco Bay Area

Remote from Canada, Europe, UK, US

More information about location

101-200 employees

B2BEnterpriseBig dataSaaSData Integration

Company mission

To bring clarity to data through a next generation multi-cloud metadata management platform.

Job

Company

Role

Who you are

5+ years of experience in software engineering, data engineering, or supporting complex enterprise applications
Expertise and understanding of Python; general understanding of frontend technologies like React, TypeScript, JavaScript, etc.; experience with data pipelines, ELT processes, and the modern data stack
Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker
Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP)
Experience troubleshooting and debugging code in enterprise environments
Excellent written and verbal communication skills — able to explain technical detail clearly to customers at all levels
A passion for helping customers succeed and a mindset rooted in collaboration and empathy
An appetite for working in a fast-paced startup environment
Bachelor’s degree in Computer Science or equivalent practical experience

What the job involves

We are seeking a gifted and resourceful Customer Centric Engineer (CCE) to serve as the bridge between our customers and Engineering teams
This is beyond traditional support — it’s a hybrid role where you’ll provide advanced troubleshooting, help guide onboarding, and partner with Engineering and Product teams to shape both the customer experience and the evolution of DataHub itself
Provide advanced technical support to our growing customer base via multiple channels (Zendesk, Zoom, Slack)
Troubleshoot complex issues spanning software configuration, networking, and integrations — including analyzing logs, reproducing issues, and debugging code
Ensure our customers achieve fast and lasting success with DataHub
Act as a trusted advisor, helping customers optimize their usage and proactively address gaps or inefficiencies
Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality
Monitor customer health metrics and advocate internally (alongside our Customer Success team) for improvements based on customer feedback
Contribute to customer-facing resources: FAQs, troubleshooting guides, training materials, and knowledge base articles
Continuously expand your technical skill set through training, certifications, and self-directed learning

Our take

Due to the increasing amount of diverse data types, companies face challenges in organising and analysing their stored data. This means data teams are overwhelmed as they accommodate data requests from within the company while striving to ensure consistent data policies are maintained.

One company tackling these data challenges is DataHub - formerly Acryl Data - a California-based startup that operates the DataHub Project, an open-source data catalogue. Alongside its data catalogue, the company offers a solution for data governance and observability. This managed service, DataHub Cloud, builds upon the open-source capabilities of the DataHub Project, introducing features that streamline the operational management of information.

Major companies such as Stripe and Pinterest already utilise DataHub, while Notion and Zendesk rely on its cloud service as their data management solution. This success has attracted the support of numerous investors, having raised an impressive $35 million in 2025. DataHub is now focused on expanding its R&D efforts, scaling its operations and further expanding its open-source community base.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (5)

Company

Funding (2 rounds)

May 2025

$35m

SERIES B

Jun 2023

$21m

SERIES A

Total funding: $56m

Company benefits

Equity
Medical, dental, and vision insurance
Carrot Fertility Program
Parental leave
Remote friendly
Work from home and monthly co-working space budget

Company HQ

Ventura, Palo Alto, CA

Leadership

Swaroop Jagadish

(Co-Founder & CEO)

Graduated from UC Santa Barbara with a M.S. in Computer Science. Previously worked as a Software Engineer at Yahoo!, LinkedIn and Airbnb.

Shirshanka Das

(Co-Founder & CTO)

Graduated from UCLA with a Ph.D. in Computer Science. Previously worked as a Senior Software Engineer/Application Architect at Paypal, as a Principal Technical at Yahoo! and as a Senior then Principal Software Engineer at LinkedIn.

John Joyce

(Co-Founder & Product & Engineering)

Graduated from the University of Notre Dame with a B.S. in Computer Engineering. Experienced Software Engineer having previously worked at Joyce & Bittner, SwoopIn, Visa, Cameo, and LinkedIn. Also co-founded SquadSnap and Float Tickets.

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