Job Description

HighLevel is seeking a Staff Analytics Engineer to lead the definition, modeling, and governance of their enterprise data layer. This role will own the technical standards for data modeling, testing, documentation, and exposure, ensuring data accuracy and consistency for internal KPIs and investor reporting. The ideal candidate will work at the intersection of data modeling, software engineering, and architecture.

Responsibilities

• Own the enterprise data model
• Define and maintain canonical entities and relationships
• Drive alignment between product, analytics, finance, and marketing data domains
• Architect and maintain the dbt semantic layer
• Build modular, tested, and versioned dbt models
• Manage exposures to ensure metric traceability
• Govern KPI and metric definitions
• Partner with Finance and BI to define key company metrics
• Enforce data contracts and schema governance
• Define and validate schemas and event structures
• Implement CI/CD tests for data consistency
• Drive observability and data quality standards
• Integrate dbt tests with the data catalog
• Implement automated monitoring and alerting
• Build the bridge between data and compliance
• Collaborate with Legal, IT, and Internal Audit
• Mentor and multiply
• Set technical direction and review standards
• Define reusable macros and documentation
• Partner cross-functionally with data engineering, BI, and Finance

Requirements

• 9+ years in data engineering, analytics engineering, or related roles
• Deep experience modeling data in dbt, Snowflake, or similar stacks
• Proven ownership of an enterprise-scale data model
• Advanced SQL and dbt skills
• Experience with CI/CD, testing frameworks, and Git-based workflows
• Experience defining and enforcing data contracts and governance standards
• Familiarity with SOX controls, audit evidence, or IPE lineage
• Strong communication skills
• Comfortable working in environments where data precision is critical

Benefits

• No benefits