Data Architecture Consultant defining governed data solutions for Beneva’s insurance and financial - services business. Modeling DataVault and dimensional data while guiding integration and architecture strategy.
About the role
- Leading Cohere’s Data Foundation team for enterprise AI infrastructure. Owning governed warehouses, pipelines, analytics platforms, and agentic data products.
Responsibilities
- Hire and grow a team of data and infrastructure engineers
- Set the technical bar, develop talent, improve team performance, and build leadership capability
- Own and sequence the Data Foundation roadmap covering warehouse buildout, agentic analytics, data governance, and platform work
- Manage the end-to-end data platform, including ingestion, Airflow and Cloud Run orchestration, BigQuery/dbt modeling, Looker, export APIs, semantic layers, and Terraform provisioning
- Define governance and access for humans, service accounts, and agents using VPC service controls, IAM patterns, onboarding paths, audit logs, and sensitive-request processes
- Operate alerting and anomaly detection, own data freshness SLAs, lead incident response and postmortems, and establish durable reliability standards
- Lead the agentic analytics program, including semantic-layer integration, evaluation harness development, and production decisions
- Establish company-wide analytics standards, onboard new domains, and maintain accurate documentation
- Partner with Product and Engineering, Business Insights, Security, and Legal on analytics surfaces, business marts, governance, and compliance-critical requests
Requirements
- 10+ years of experience across data engineering, data infrastructure, or analytics platform work
- Strong management track record leading data platform or infrastructure teams
- Serious hands-on experience in data engineering or infrastructure before management
- Production experience with cloud data warehouses such as BigQuery or Snowflake
- Experience with workflow orchestration such as Airflow
- Experience with infrastructure as code such as Terraform
- Depth in data modeling, including fact and dimension tables, raw/core/mart separation, and semantic layers
- Experience setting team roadmaps from company or function strategy and delivering cross-team outcomes
- Demonstrated operational excellence with alerting, SLAs, incident response, and postmortems
- Exposure to data security and governance, including IAM, access management, VPC service controls, audit, and compliance workflows
- Genuine interest in AI and AI-agent data foundations
- Comfort operating in ambiguity, leading multi-workstream roadmaps, and working directly with executives
Benefits
- Weekly lunch stipend of $75/£75 or equivalent in local currency
- Full health and dental benefits, including a separate mental health budget
- RRSP matching, 401K, and Pension Scheme
- 100% parental leave top-up for up to 6 months, for either parent
- Annual enrichment benefits covering arts and culture, fitness/wellness, quality time, and workspace improvement
- Education and learning stipend for conferences, courses, and coaching
- 6 weeks of paid vacation (30 working days)
- Budget for travel to other offices for remote employees
- Annual company offsite
- Daily lunch program, snacks, and regular community and social events for office employees
- Co-working benefit for employees not near an office
- $500 home office stipend
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