DigiKey is one of the fastest growing distributors of electronic components in the world. Since its founding in 1972, DigiKey has been committed to offering the broadest selection of in-stock electronic components, as well as providing the best service possible to its customers, aiding engineers through the entire design process, from Prototype to Production. This has led the company to be highly ranked year after year in industry surveys in North America as well as Europe and Asia, in categories covering such facets of business as availability of products, speed of service, responsiveness to problems, and more.
Key Responsibilities
Dataiku Platform Administration
- 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.
ModelOps / MLOps Enablement
- 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.
Cloud, Infrastructure & Automation
- 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.
- Troubleshoot query performance, concurrency, and cost-related issues arising from Dataiku workloads on Snowflake.
Collaboration & Support
