Principal Analytics Engineer

Crisis Prevention Institute

. Own the strategy, architecture, administration, reliability, and continuous evolution of the enterprise Snowflake platform and supporting data ecosystem .

Posted 11/3/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Snowflake architecture, administration, and security, with a strong focus on designing scalable data ingestion and transformation patterns. Proven ability to influence cross-functional teams and mentor engineers while ensuring compliance with enterprise governance and security standards.

Highest-signal resume keywords

Snowflake ArchitectureData EngineeringSQL ExpertiseEnterprise SecurityAI-Enablement Patterns

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Platform EngineeringData TransformationData OrchestrationPerformance TuningCost GovernanceData ModelingObservabilityRelease AutomationDisaster RecoveryData Lifecycle Management

Soft Skills

Stakeholder ManagementTechnical InfluenceCommunication SkillsMentorshipJudgment

Tools & Technologies

SnowflakePower BIFivetranMCP ConfigurationCloud Data Stack

Certifications & Qualifications

Snowflake CertificationCloud Architecture CertificationData Engineering CertificationPower BI Certification

Industry Keywords

Enterprise Data CapabilitiesGovernance PatternsProduction Data PlatformsComplex Platform IssuesData Security

Tech Stack

Tools & technologies

CloudSnowflakeSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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