Senior Staff Data Engineer
Role Overview
Leads Cohere’s Data Foundation pillar within the Analytics and Data Insights team.
Owns the warehouse, data pipelines, governed access, and agentic analytics capabilities used across the company.
The role builds on an existing Terraform-provisioned warehouse framework, dbt conventions, alerting practice, and documentation patterns.
Key Skills for This Role
Full Job Posting
Role overview
Leads Cohere’s Data Foundation pillar within the Analytics and Data Insights team.
Owns the warehouse, data pipelines, governed access, and agentic analytics capabilities used across the company.
The role builds on an existing Terraform-provisioned warehouse framework, dbt conventions, alerting practice, and documentation patterns.
Responsibilities
- Hire and develop data and infrastructure engineers, set technical standards, and improve team performance.
- Set and deliver the Data Foundation roadmap, balancing warehouse development, governance, agentic analytics, and platform priorities.
- Own ingestion, orchestration, BigQuery and dbt modeling, and serving through Looker, export APIs, and semantic layers.
- Define access controls and governance for people, service accounts, and agents, including audit logs and legal-hold requests.
- Maintain anomaly detection, freshness SLAs, incident response, and postmortem practices.
- Build an internal analytics agent and evaluation harness; use evaluation results to guide production adoption.
- Set company analytics standards and onboard new domains while keeping documentation current.
- Partner with product, engineering, Business Insights, Security, and Legal on analytics, governance, and compliance needs.
Qualifications
- 10+ years in data engineering, data infrastructure, or analytics platform work, with a strong record leading teams.
- Hands-on data engineering or infrastructure experience, including the ability to review Terraform, dbt, and Airflow work.
- Production experience with cloud data warehouses, workflow orchestration, and infrastructure as code; similar tools are acceptable.
- Strong data modeling knowledge, including fact and dimension tables, raw/core/mart layers, semantic layers, tests, and contracts.
- Experience setting strategic roadmaps and delivering cross-functional outcomes.
- Demonstrated operational excellence in alerting, SLAs, incident response, and postmortems.
- Exposure to data security and governance, including IAM, access management, VPC service controls or equivalent, audit, and compliance.
- Interest in AI and comfort with ambiguity, multi-workstream roadmaps, and executive-level priorities.
Benefits
- Full-time employees receive health and dental benefits, mental-health support, and retirement matching or pension benefits, depending on location.
- Benefits include parental leave top-up, six weeks of paid vacation, annual enrichment and learning stipends, and a workspace improvement credit.
- Remote employees may receive a travel budget for other offices and an annual company offsite.
Workplace
- Cohere describes itself as remote-friendly and has offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
- Employees not near an office may receive a co-working benefit; all employees receive a CAD 500 home-office stipend.
Compensation
- Compensation range is CAD 275,000 to CAD 450,000; the source does not specify a pay cadence.
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