Dataiku Specialist / Platform Engineer

Start Date: 01/05/2025

Responsibilities:

• Build and maintain the Data Science platform, Dataiku, including AWS deployment.
• Define and implement best practices for Dataiku usage and governance, focusing on DSS and automation nodes.
• Promote the use of Dataiku and assist citizen data scientists through internal channels.
• Analyze, propose, and implement improvement activities with a focus on automation and standardization.
• Oversee the activities of the dedicated support team.
• Collaborate with cloud, DBA, infrastructure, and operations teams to ensure the maintainability and usability of the Data Science workbench platform.
• Work with Data Science and MLOps teams to transition ML pipelines from prototype to production.
• Collaborate with data governance, data architects, data engineers, and EA teams for larger data-related activities.

Qualifications and Experience:

• Minimum of 3 years' experience as a data platform technical expert or in an MLOps role.
• Experience with Dataiku, preferably as a power user or administrator, with strong workflow optimization skills.
• Good understanding of automation techniques and integration with enterprise systems.
• Familiarity with monitoring techniques and key metrics for platform performance.
• Excellent programming skills in Python and familiarity with common DevOps tools such as Git and Terraform.
• Good understanding of AWS infrastructure and deployment practices; experience with IaC tools like Terraform is a plus.
• Ability to work in a collaborative and diverse environment.
• Strong communication skills.

Desired Skills:

• Act as the technical SME of Dataiku and drive the execution of critical activities on the platform.
• Define and apply best practices consistently within the Dataiku platform.
• Detect opportunities for automation and develop them.
• Explain Dataiku capabilities to non-technical profiles while engaging in technical conversations with engineers and data scientists.
• Stay up-to-date on modern data platform and automation trends.
• Work individually on smaller deliveries and participate in larger deliveries as part of a team.
• Raise impediments and seek support if needed.
• Actively suggest improvement opportunities, both technical and process-related.
• Create concise and meaningful documentation of policies, best practices, and architectures.
• Quickly learn new technologies.

Technical and Methodical Skills:

Tenacious problem solver with great customer focus and a passion for data platforms and automation.