Dataiku Admin

Onsite role to Berkeley Heights, NJ OR Alpharetta, GA.

Role Overview

We are seeking a skilled Dataiku Administrator with strong DevOps experience to manage, automate, and scale our Dataiku DSS platform. This role will partner with data engineers, data scientists, and IT operations to ensure a secure, high-performing, and reliable analytics environment. The ideal candidate combines platform administration expertise with modern DevOps practices such as CI/CD, infrastructure as code, and cloud automation.

Key Responsibilities

Platform Administration

• Install, configure, upgrade, and maintain Dataiku DSS across development, test, and production environments.
• Manage user access, security groups, authentication (LDAP/SSO), and project governance.
• Monitor platform health, performance tuning, log management, and capacity planning.
• Administer Dataiku code environments, plugins, and integrations with external systems.

DevOps & Automation

• Design and maintain CI/CD pipelines for Dataiku projects using Git, Jenkins, GitLab CI, or Azure DevOps.
• Automate environment provisioning using Terraform, Ansible, or similar IaC tools.
• Implement automated deployment of Dataiku bundles and project promotion workflows.
• Support containerization (Docker/Kubernetes) for scalable execution.

Cloud & Infrastructure

• Manage Dataiku on cloud platforms (AWS/Azure/Google Cloud Platform) including networking, storage, and IAM.
• Configure integrations with data platforms such as Snowflake, Databricks, Redshift, BigQuery, and on-prem databases.
• Implement backup, disaster recovery, and high-availability strategies.

Governance & Support

• Establish best practices for MLOps, model lifecycle management, and reproducibility.
• Collaborate with security teams on patching, secrets management, and compliance.
• Provide L2/L3 support, troubleshooting, and root-cause analysis.
• Create technical documentation and conduct user enablement sessions.

Required Qualifications

• 3-5 years of experience administering Dataiku DSS in enterprise environments.
• Strong DevOps background with CI/CD, Git workflows, and release automation.
• Experience with Linux administration and scripting (Python, Bash).
• Hands-on with Docker and Kubernetes.
• Experience with at least one cloud provider (AWS, Azure, or Google Cloud Platform).
• Knowledge of authentication/authorization (SSO, LDAP, Kerberos).
• Solid understanding of data engineering concepts and SQL.