Serve as the technical bridge between customers and DataHub's Engineering/Product teams. Deliver advanced troubleshooting, guide onboarding, debug complex issues across data pipelines/cloud/integrations, and advocate for product improvements based on customer feedback. Requires 5+ years experience, strong Python/SQL/cloud skills, and customer obsession.
Salary not listed
Remote5+ YOESupport Engineering
About the role
Responsibilities
Provide advanced technical support to customers via Zendesk, Zoom, Slack.
Troubleshoot complex issues spanning software configuration, networking, and integrations, including analyzing logs, reproducing issues, and debugging code.
Ensure customers achieve fast and lasting success with DataHub.
Act as a trusted advisor to optimize usage and proactively address gaps.
Collaborate with product, engineering, and ingestion teams to resolve escalations and improve product functionality.
Monitor customer health metrics and advocate for improvements based on feedback.
Contribute to customer-facing resources such as FAQs, troubleshooting guides, training materials, and knowledge base articles.
Continuously expand technical skill set through training, certifications, and self-directed learning.
Requirements
5+ years of 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 such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
Solid understanding of networking, system architectures, and cloud platforms (AWS, Azure, GCP).
Experience with modern orchestration technologies (Kubernetes, GKE, AKE, Docker, etc.).
Experience with UNIX commands and system administration.
Experience troubleshooting and debugging code in enterprise environments.
Excellent written and verbal communication skills.
Passion for helping customers succeed with collaboration and empathy.
Appetite for working in a fast-paced startup environment.
Bachelor’s degree in Computer Science or equivalent practical experience.
Nice-to-Haves
Experience shaping support functions and influencing customer experience.
Background across software, data platforms, cloud, and modern DevOps.
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