Senior Staff Data Engineer

Skills

About the Role

You will lead the data foundation function and own its strategy, roadmap, and delivery. You will manage data and infrastructure engineers, operate the warehouse and analytics platform, establish governed access, improve reliability, and develop an internal analytics agent and evaluation harness.

Requirements

• 10+ years of data engineering, data infrastructure, or analytics platform experience
• Management experience leading data platform or infrastructure teams
• Data engineering or infrastructure experience
• Cloud data warehouse experience
• Workflow orchestration experience
• Infrastructure as code experience
• Data modeling
• Data security and governance
• IAM
• Access management
• VPC service controls
• AI

Responsibilities

• Build, lead, and develop a team of data and infrastructure engineers
• Own and sequence the Data Foundation roadmap
• Own data ingestion, orchestration, warehouse modeling, and analytics serving
• Define governed data-access patterns and compliance workflows
• Operate alerting, data-freshness SLAs, incident response, and postmortems
• Lead the agentic analytics program and its evaluation harness
• Maintain analytics standards, documentation, and onboarding patterns
• Partner with product, engineering, business, security, and legal stakeholders

Benefits

• Weekly lunch stipend of $75/£75 or local equivalent
• Health and dental benefits
• Mental health budget
• RRSP matching
• 401K
• Pension Scheme
• Parental leave top-up for up to 6 months
• Arts and culture benefit
• Fitness and wellness benefit
• Workspace improvement credit
• Education and learning stipend
• 6 weeks of paid vacation
• Budget for travel to other offices
• Annual company offsite
• Daily lunch program for office workers
• Snacks for office workers
• Community and social events for office workers
• Co-working benefit
• $500 home office stipend