Senior Data Platform Engineer

Own end-to-end administration of Dataiku DSS environments (installation, upgrades, patching, backups, restores).

Manage hub-and-spoke or multi-instance Dataiku architectures.

Troubleshoot and resolve performance, infrastructure, and platform stability issues.

Apply security best practices including user access control, secrets management, and vulnerability remediation.

Plan and execute capacity management, scaling, and disaster recovery strategies as needed.

Design and support model deployment pipelines using Dataiku automation, APIs, and CI/CD tools.

Enable model versioning, promotion, rollback, and lifecycle management across environments.

Implement model monitoring (performance drift, data drift, operational health).

Partner with data scientists to productionize ML workflows using best-practice ModelOps patterns.

Define and document standard operating procedures (SOPs) for model deployment and operations.

Administer Dataiku on Linux-based environments across cloud platforms.

Work with containers and Kubernetes for scalable and resilient deployments.

Build automation using Python, Bash, Ansible, or Terraform to reduce manual operations.

Integrate Dataiku with enterprise tools such as Git, CI/CD pipelines, monitoring (Grafana/Prometheus), and ServiceNow.

Administer and support Dataiku integrations with enterprise databases - Preferably Snowflake.