Job Title: Dataiku Administrator
Location: Remote
Duration: 6 months
 
Department: Customer360 Data Engineering
Reports To: Director of Application Development
 
Position Summary:
We are seeking a skilled and proactive Dataiku Administrator to manage and optimize our Dataiku DSS platform deployed in an AWS cloud environment. The ideal candidate will have hands-on experience with Apache Spark, cloud-native architecture, and enterprise data governance. This role is critical to ensuring the stability, performance, and scalability of our analytics infrastructure, which supports a wide range of data science and business intelligence initiatives.
 
Key Responsibilities:
Platform Administration:

• Manage and maintain the Dataiku DSS platform in AWS, including upgrades, patching, and configuration.
• Monitor system health, performance, and resource utilization across Spark clusters and Dataiku nodes.
• Implement and maintain user access controls, roles, and permissions in alignment with SOX and other compliance requirements.

 
Spark Integration & Optimization:

• Configure and tune Spark execution environments for optimal performance within Dataiku workflows.
• Troubleshoot Spark-related job failures and performance bottlenecks.
• Collaborate with data engineers and scientists to optimize Spark recipes and pipelines.

 
Cloud Infrastructure Management:

• Work closely with DevOps and Cloud Engineering teams to manage EC2 instances, S3 buckets, IAM roles, and networking components.

 
Automation & Monitoring:

• Develop and maintain automation scripts for platform monitoring, user provisioning, and job scheduling.
• Integrate with logging and alerting tools (e.g., CloudWatch, ELK, Prometheus) to proactively detect and resolve issues.

 
Collaboration & Support:

• Provide technical support and training to Dataiku users across departments.
• Act as a liaison between data teams and IT to ensure platform alignment with organizational goals.

 
Required Qualifications:
 

• Strong expertise in Apache Spark, including performance tuning and troubleshooting.
• Hands-on experience with AWS services (EC2, S3, IAM, CloudFormation, etc.).
• Experience with Kubernetes, EMR, or other Spark orchestration tools.
• Proficiency in Python, Bash, and/or other scripting languages.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, GitLab CI).

 
Preferred Qualifications:

• Experience administering Dataiku DSS in a production environment, or
• Dataiku certification (Administrator or Advanced Designer).
• Knowledge of Dataiku plugin development and API integration.
• Experience supporting enterprise-scale analytics platforms.
• Understanding of data governance, security, and compliance frameworks (e.g., SOX, GDPR).

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 65.00/hr.