Principal Analytics Engineer

🔥 15 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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Crisis Prevention Institute

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

💼 Consulting

📦 Logistics

📚 Education

💰 Private Equity Round on 2011-11

Consulting • Logistics • Education

Crisis Prevention Institute is a leading provider of training programs designed to teach individuals how to prevent and manage crisis situations effectively. The organization specializes in evidence-based de-escalation techniques, trauma-informed approaches, and nonviolent crisis intervention methods, catering primarily to professionals in various sectors such as education, health care, and human services. CPI aims to foster safe environments through customized training solutions that equip staff with the necessary skills to handle challenging behaviors and situations confidently.

📋 Description

• Own the strategy, architecture, administration, reliability, and continuous evolution of the enterprise Snowflake platform and 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 technical implementation of Snowflake security, including roles and access controls, authentication, network policies, data protection, auditing, privacy, and secure data sharing • Serve as senior architecture authority for the data platform by reviewing major designs, challenging tradeoffs, reducing complexity, and aligning decisions with enterprise architecture and governance • Lead technical enablement of AI use cases on governed enterprise data, including secure MCP server and client configurations, tool access patterns, data interfaces, and controls • Establish reusable engineering patterns, reference architectures, coding practices, documentation expectations, and review processes • Partner with analytics engineers, BI professionals, AI teams, application teams, infrastructure, security, and business stakeholders • Diagnose and resolve complex production, performance, integration, and security issues; lead root-cause analysis and durable remediation • Provide deep technical mentorship and influence across the data team without direct people-management responsibility • Define and monitor platform health, adoption, service levels, cost, and value metrics; maintain a prioritized technical roadmap

🎯 Requirements

• Bachelor's Degree • At least 10 years of progressive experience in data engineering, analytics engineering, data platform engineering, cloud data architecture, or a closely related field, including ownership of business-critical production data platforms • Extensive hands-on experience architecting, administering, securing, optimizing, and operating Snowflake in an enterprise environment • Demonstrated experience designing and owning production ingestion, transformation, orchestration, observability, and data-serving patterns across a modern cloud data stack • Demonstrated success serving as a senior technical authority, reviewing architecture, influencing cross-functional decisions, mentoring experienced engineers, and leading resolution of complex platform issues • Experience partnering with security, infrastructure, application, analytics, AI, and business teams to deliver secure, governed, highly adopted enterprise data capabilities • Expert-level Snowflake knowledge spanning architecture, administration, virtual warehouses, workload management, performance tuning, cost governance, data sharing, replication, recovery, security, monitoring, and operational support • Expert SQL and deep knowledge of data modeling, ingestion, transformation, orchestration, testing, observability, version control, release automation, and production engineering practices • Deep understanding of enterprise security and governance patterns, including least-privilege access, role design, authentication, network controls, encryption, secrets management, auditing, privacy, lineage, and data lifecycle management • Strong knowledge of AI-enablement patterns for enterprise data, including secure MCP configuration, governed data access, retrieval and tool-integration patterns, and controls for AI-assisted applications and agents • Exceptional architecture judgment and ability to evaluate tradeoffs across simplicity, scalability, security, performance, cost, governance, resilience, and maintainability • Ability to lead through technical influence, conduct rigorous design and code reviews, mentor experienced practitioners, establish standards, and build alignment across teams without formal authority • Strong communication, consulting, and stakeholder-management skills, with ability to explain complex platform decisions to technical and executive audiences and connect engineering choices to business outcomes • Demonstrated ownership, sound judgment, intellectual curiosity, and ability to operate independently across high-impact priorities while partnering across the data team and enterprise • Relevant Snowflake, cloud architecture, security, data engineering, or Power BI certifications are beneficial but not required

🏖️ Benefits

• Comprehensive compensation package • Comprehensive benefits package • 401k • PTO • Health & Wellness Days • Paid Volunteer Time Off • Continuing education and training • Hybrid / Remote work schedule • Paid Parental Leave

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