Customer Centric Engineer

The Company

DataHub is the leading AI & Data Context Platform, trusted by more than 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Built with the strength of an open-source community of 13,000+ members, our metadata graph technology provides unmatched scalability, extensibility, and in-depth visibility into AI and data assets.

Our SaaS offering, DataHub Cloud, delivers AI-powered discovery, observability, and governance — empowering organizations to accelerate time-to-value, ensure AI reliability, and bring order to data chaos.

We’re growing fast, and we’re looking for people who are as customer-obsessed as they are technically strong.

The Role

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.

What You’ll Do

• 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.

What You’ll Bring

• 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). Understanding of (and experience with) modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.)
• Experience with UNIX commands and system administration/navigation
• Experience troubleshooting and debugging code in enterprise environments.
• Excellent written and verbal communication