Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks
Partner with the SVP on hiring, team development, vendor relationships and strategic planning
Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow.
Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met.
Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture.
Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management.
Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly.
Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.
Requirements
5/8+ years in data engineering, analytics engineering, or platform engineering roles
3+ years leading engineering teams (hiring, performance management, delivery accountability)
Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools
Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds
Experience operating in regulated or compliance-sensitive environments
Be able to review code, debug production issues and make sound architectural judgements.