Principal Analytics Engineer
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Job Description
Principal Analytics Engineer owning Snowflake architecture, security, and AI-ready data platforms. Supporting CPI, a global leader in de-escalation and crisis prevention training.
Responsibilities:
- 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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