Dataiku Administrator

Apexon is seeking an experienced Dataiku Administrator to manage, maintain, and optimize the Dataiku Data Science Studio (DSS) platform within our enterprise analytics ecosystem. This role will ensure platform stability, security, performance, and scalability while supporting data scientists, data engineers, and business stakeholders in delivering AI/ML and advanced analytics solutions in a regulated financial services environment.

• Install, configure, upgrade, and patch Dataiku DSS across development, QA, and production environments.
• Monitor platform performance, capacity, and availability.
• Perform regular system health checks, backups, and disaster recovery procedures.
• Manage code environments, plugins, and package dependencies.

• Configure and manage user access, roles, and permissions (RBAC).
• Integrate Dataiku with enterprise authentication systems (LDAP/AD/SSO).
• Implement governance standards, audit logging, and compliance controls.
• Deploy and manage Dataiku in AWS/Azure environments.
• Configure integrations with Snowflake, Databricks, S3, Redshift, SQL Server, Oracle, and other enterprise data sources.
• Support Kubernetes/Open Shift deployments where applicable.
• Optimize compute resource usage for Spark and distributed workloads.

• Automate platform maintenance tasks using Python, Bash, or scripting tools.
• Manage API nodes, automation nodes, and production model deployments.
• Work with Dev Ops teams to implement infrastructure-as-code practices.
• Provide L2/L3 support for platform-related issues.
• Collaborate with data engineers and data scientists to optimize workflows.
• Conduct training sessions and develop platform documentation.
• Serve as a subject matter expert for Dataiku best practices.

• 5 + years of experience in Dataiku DSS administration.
• Strong experience with Linux system administration.
• Hands-on experience with AWS or Azure cloud environments.
• Knowledge of Python and shell scripting.
• Experience with databases such as Snowflake, Oracle, SQL Server, or Postgre
  
  SQL.
• Experience integrating Dataiku with Spark, Hadoop, or distributed compute engines.
• Understanding of enterprise security frameworks and access management.

• Experience in financial services or banking domain.
• Knowledge of MLOps and model deployment lifecycle.
• Familiarity with Kubernetes/Open Shift.
• Experience with CI/CD tools (Jenkins, Git Hub Actions, Azure Dev Ops).
• Dataiku certifications.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in a fast-paced, highly regulated environment.
• Strong documentation and governance mindset.