Tech Stack

Description

You will serve as the bridge between customers and Engineering teams, providing advanced technical support, guiding onboarding, and collaborating with product and engineering to improve DataHub. Your work ensures customers achieve fast and lasting success with our AI Data Context Platform.

Requirements

• 5+ years experience in software engineering, data engineering, or supporting complex enterprise applications.
• Expertise in Python; general understanding of frontend technologies like React, TypeScript, JavaScript.
• Experience with data pipelines, ELT processes, and the modern data stack.
• Proficiency with SQL and enterprise data platforms (Snowflake, BigQuery, dbt, Airflow, Tableau, Looker).
• Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP).
• Experience with Kubernetes, GKE, AKE, Docker.
• Experience with UNIX commands and system administration.
• Excellent written and verbal communication skills.
• Bachelor's degree in Computer Science or equivalent practical experience.

Responsibilities

• Provide advanced technical support via Zendesk, Zoom, Slack.
• Troubleshoot complex issues spanning software configuration, networking, and integrations.
• Act as a trusted advisor, helping customers optimize usage and address gaps.
• Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
• Monitor customer health metrics and advocate for improvements.
• Contribute to customer-facing resources: FAQs, troubleshooting guides, knowledge base articles.
• Continuously expand your technical skill set.