Tech Stack
AnsibleAWSAzureCloudGoogle Cloud PlatformHadoopKubernetesLinuxPythonSparkTerraform
About the role
- Work with customers at every stage of their relationship with Dataiku, from initial evaluations to enterprise-wide deployments
- Help customers design, build, validate, and run their Data Science and AI Platforms
- Understand customer requirements for scalability, availability, and security and provide architecture recommendations
- Deploy Dataiku in a variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
- Automate operation, installation, and monitoring of Data Science ecosystem components
- Collaborate with Revenue and Customer teams to deliver a consistent customer experience
- Drive technical success as a trusted advisor to customers and internal account teams
Requirements
- Professional experience with at least one cloud based services (AWS, GCP or Azure)
- Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
- Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
- Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
- Some experience with Python
- Grit when faced with technical issues
- Comfort and confidence in client-facing interactions
- Ability to work both pre and post sale
- Some knowledge in Data Science and/or machine learning (desirable)
- Linux system administration experience (desirable)
- Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning (desirable)
- Professional experience or Familiarity with Hadoop environment (Cloudera) is a plus (desirable)
- Experience with authentication and authorization systems like (A)AD, IAM, and LDAP (desirable)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
cloud servicesKubernetesAnsibleTerraformCloudFormationData WarehousesData LakesPythonSparkHadoop
Soft skills
gritclient-facing interactionspre-salepost-sale