Our Story:
Crisis Prevention Institute, Inc. (CPI) is the worldwide leader in evidence‑based de‑escalation and crisis prevention training and dementia care services. Our programs teach professionals the skills to recognize, prevent, and respond to crises in the workplace. Since 1980, we’ve helped train more than 17 million people across service‑oriented industries including education, health care, behavioral health, long‑term care, human services, security, corporate, and retail.
At CPI, we are dedicated to changing behaviors and reducing conflict for the Care, Welfare, Safety, and Security of everyone. We believe empathy, meaningful connections, personal safety, and security are the antidotes to fear and anxiety. This philosophy is central to everything we do and traces back to our beginning.
As a member of the team, you can expect to: Make a difference through your work — You’ll be proud to tell your family and friends what you do.
Gain significant career experience within a fast‑growing organization — From entry‑level roles to executive leadership.
Feel fulfilled and have fun — We work hard but make time to build meaningful relationships and celebrate wins.
The Role:
The Principal Analytics Engineer is the organization’s most senior individual contributor for the enterprise data platform and serves as the end-to-end technical owner of Snowflake and its supporting ecosystem. This role is accountable for platform architecture, ingestion, data transformation, performance, reliability, security, governance, cost optimization, and operational excellence. The position reviews and guides architectural decisions across the data team, establishes engineering standards, and enables trusted analytics and AI capabilities, including secure Model Context Protocol (MCP) configurations and governed access to enterprise data. Working closely across the entire data team and with technology, security, AI, and business partners, this role is critical to driving successful, scalable Snowflake adoption across the enterprise.
What You Get to Do Every Day: Own the strategy, architecture, administration, reliability, and continuous evolution of the enterprise Snowflake platform and its supporting data ecosystem.
Design and oversee scalable ingestion, transformation, orchestration, and data-serving patterns across Snowflake, Fivetran, Power BI, and complementary technologies.
Set and enforce platform standards for performance, workload management, reliability, observability, testing, deployment, disaster recovery, and cost optimization.
Own the technical implementation of Snowflake security, including roles and access controls, authentication, network policies, data protection, auditing, privacy, and secure data sharing in partnership with Information Security.
Serve as the senior architecture authority for the data platform by reviewing major designs, challenging tradeoffs, reducing unnecessary complexity, and ensuring decisions align with enterprise architecture, governance, and long-term maintainability.
Lead the technical enablement of AI use cases on governed enterprise data, including secure Model Context Protocol (MCP) server and client configurations, tool access patterns, data interfaces, and controls for AI-assisted workflows and agents.
Establish reusable engineering patterns, reference architectures, coding practices, documentation expectations, and review processes that improve quality and delivery across the data team.
Partner closely with analytics engineers, BI professionals, AI teams, application teams, infrastructure, security, and business stakeholders to deliver trusted platform capabilities and accelerate enterprise adoption.
Diagnose and resolve the most complex production, performance, integration, and security issues; lead root-cause analysis and drive durable remediation.
Provide deep technical mentorship and influence across the data team without direct people-management responsibility, raising engineering capability and…