The company is looking to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance.
Requirements
- Expertise in Python
- Experience working with the modern data stack, data pipelines, and ELT processes in an enterprise environment
- Expertise in SQL, modern data warehouses, transformation tools, and BI tools such as Snowflake, BigQuery, dbt, Airflow, Tableau, Looker, etc
Responsibilities
- Provide advanced technical support via multiple channels (Slack, ZenDesk, Zoom)
- Troubleshoot and resolve technical issues promptly
- Collaborate with product engineering teams to resolve complex customer problems
- Deliver proactive customer success initiatives, including onboarding, training, and ongoing product optimization as required
- Monitor customer health metrics and help drive retention by identifying patterns of usage and product gaps
Other
- Excellent communication and interpersonal skills
- Passion for helping customers
- Comfortable working in a fast-paced startup environment
- Bachelor's degree in Computer Science
- 5+ years of experience in software engineering or data engineering
