Field Data Engineer, Ascend.io

• Two to four years in a support role working directly with customers or as a data engineer
• Experience with technical support implementing proven techniques that both resolve issues and increase customer satisfaction
• Strong written and oral communication, critical thinking, flexibility, self-direction and a team mindset
• Experience building complex data pipelines
• Experience designing and building cloud-based data solutions including Data Lake, Data Warehouse and/or Lakehouse implementations (ex. S3/GCS/ADLS, Snowflake and/or Databricks)
• Deep experience with at least one cloud platform (AWS, GCP, Azure)
• Hands-on development experience with Python
• Bachelor's degree in computer science, software engineering, data engineering, information technology or relevant experience

Desirable

• As a Field Data Engineer you will provide enterprise-level guidance and support to customers by researching, diagnosing, troubleshooting, and resolving issues to the clients’ satisfaction.
• We believe the best teams are made from individuals who have a deep passion for customers, love sharing knowledge with their team, and actively seek out environments where they are not the smartest person in the room
• Drive Customer Success and Technical Excellence: Act as a trusted advisor and subject matter expert for customers, prospects, and internal teams—collaborating with Sales, Engineering, and Product to resolve technical obstacles and improve the platform
• Resolve Complex Technical Issues: Take a hands-on approach to diagnose, troubleshoot, and resolve data pipeline and infrastructure issues, ensuring timely support for global customers across time zones
• Onboard and Enable Prospects During Trials: Deliver onboarding, technical guidance, and hands-on support throughout the trial period to ensure prospects are set up for success and can independently explore key capabilities
• Bridge Customer Feedback and Product Innovation: Capture and prioritize customer feedback and feature requests, partnering with Product and Engineering to influence roadmap decisions and ensure the platform evolves to meet real-world needs
• Manage Escalations with Precision: Partner with engineering to drive resolution of high-priority incidents and deeply technical escalations, ensuring customer impact is minimized and root causes are addressed
• Empower Customers Through Enablement: Proactively contribute to and maintain up-to-date customer-facing documentation and internal knowledge bases to promote self-service and accelerate time-to-value