Engineering Manager: Engineering Data Platform Enablement (Hybrid, Seattle - WA)
Tasks
- Coach engineer growth
- Define conversational analytics strategy
- Define provisioning workflows
- Deploy Looker Core changes
- Develop analytics agent capabilities
- Drive platform migration lifecycle
- Ensure platform reliability
- Establish LookML governance
- Forecast compute costs
- Govern data platform access policies
- Lead engineering delivery
- Lead enterprise access provisioning
- Manage Looker migration governance
- Manage on-call operations
- Monitor platform health
- Optimize platform costs
- Perform capacity planning
- Plan token capacity utilization
- Prioritize engineering work
- Respond to production incidents
- Review pull requests
- Scale ahead of demand
- Set Golden Query standards
- Set Looker development standards
- Set monitoring standards
- Set technical direction and architecture
- Support dashboard best practices
- Support data modeling
- Support explore design
- Support hiring planning and capacity
- Write code and build automation
Perks/Benefits
- 401k
- Disability insurance
- EAP Resources
- Holidays
- Life insurance
- Medical/Vision/Dental
- Merchandise Discount
- PTO Accruals
- Paid time away
- Retirement
Skills/Tech-stack
AWS | Access Management | Agent Development | BigQuery | CI/CD | Conversational Analytics | Cost Optimization | Dataplex | GCP | Git | Infrastructure as Code | Kubernetes | LLM | LookML | Looker | Looker Core | Metabase | Python | SCIM | SailPoint IdentityNow | Terraform | Token utilization | “as-code”
Education
N/A
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