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Customer Success Engineer
Confirmed live in the last 24 hours
Locations
Dallas, TX, USA • Remote • Wrigleyville, Chicago, IL, USA • Denver, CO...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Apache Kafka
Data Analysis
Hadoop
Marketing
Microsoft Azure
SQL
Python
Requirements
  • Minimum 6 years experience working in customer-facing technical roles (in Customer Success, consulting, or related discipline)
  • Experience at a SaaS company or with cloud architectures
  • Languages: Python, or SQL
  • Familiarity with the end-to-end data analytics workflow
  • Experience with databases and data warehousing
  • Problem solving skills, those that apply to a 'big data' environment
  • Some travel may be involved depending on customer's needs
  • Bachelor's degree in computer science or related field
Responsibilities
  • You will manage the customer lifecycle for an assigned number of accounts. You will need to build relationships with them and engage by presenting product roadmaps and executive briefings, running QBRs, managing escalations, and conducting regular status calls
  • Learn and become a Databricks + Spark expert! Customers will look to you for advice and expertise
  • Strategize and identify new use cases to grow accounts. Find areas where Databricks can provide the most value to increase renewals
  • Engage with the product team to guide customer requests and establish our roadmap
  • Work with the technical support team and other core Databricks teams to ensure that customer requests and escalations are resolved
  • Identify and achieve targets on renewal rates, customer satisfaction, expansions, upsells, and new opportunities in assigned accounts
  • Develop Databricks champions and produce customer references for the marketing team
  • Be a true proponent of customer advocacy
  • You will inspire, mentor and coach other team members
Desired Qualifications
  • Domain experience with Manufacturing, Retail, Health and Life Sciences, Communication and Media experience
  • Fluency with cloud services such as AWS or Azure
  • Fluency with distributed streaming platforms (Kafka, Kinesis)
  • Experience working with large-scale data processing services (Hadoop)
  • Background in machine learning or working with ML tools and services
Databricks

1,001-5,000 employees

Unified, open platform for enterprise data
Company Overview
Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.
Benefits
  • Extended health care including dental and vision
  • Life/AD&D and disability coverage
  • Equity awards
  • Flexible Vacation
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Employee Assistance Program (EAP)
  • Business travel accident insurance
  • Paid Parental Leave