HighLevel · 1 month ago
Staff Analytics Engineer
United States
Full-time
Remote
Lead/Staff
9+ years expHighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. The Staff Analytics Engineer will lead the definition, modeling, and governance of the enterprise data layer, ensuring consistent and auditable data reporting across the company.
AdvertisingCRME-Commerce PlatformsMarketing
Responsibilities
Own the enterprise data model:
Define and maintain canonical entities (Account, Customer, Location, Usage, Invoice, etc.) and their relationships across systems
Drive alignment between product, analytics, finance, and marketing data domains
Architect and maintain the dbt semantic layer:
Build modular, tested, and versioned dbt models with rigorous standards for naming, documentation, and lineage
Manage exposures to ensure all metrics and dashboards trace back to tested sources
Govern KPI and metric definitions:
Partner with Finance and BI to define and codify key company metrics (ARR, NRR, CAC payback, etc.) and enforce change control through versioned definitions
Enforce data contracts and schema governance:
Define and validate schemas, event structures, and data types for all inbound systems
Implement CI/CD tests to block breaking changes and maintain cross-system consistency
Drive observability and data quality standards:
Integrate dbt tests and freshness SLOs with the data catalog
Implement automated monitoring and alerting for data breaks and policy violations
Build the bridge between data and compliance:
Collaborate with Legal, IT, and Internal Audit to ensure IPE (information produced by the entity) lineage, evidence retention, and SOX readiness
Mentor and multiply:
Set technical direction and review standards in close partnership with the broader data organization
Define reusable macros, patterns, and documentation conventions that raise the bar for quality and reliability
Partner cross-functionally:
Work closely with data engineering on ingestion and contracts, BI on dashboard alignment, and Finance on KPI integrity
Influence how new systems and features are instrumented at the source to keep the data layer consistent
Qualification
Required
9+ years in data engineering, analytics engineering, or related roles with deep experience modeling data in dbt, Snowflake, or similar modern stacks
Proven ownership of an enterprise-scale data model or semantic layer used across multiple business functions
Advanced SQL and dbt skills; experience with CI/CD, testing frameworks, and Git-based workflows
Experience defining and enforcing data contracts, quality tests, and governance standards
Familiarity with SOX controls, audit evidence, or IPE lineage
Strong communication skills with the ability to translate between engineering, finance, and compliance stakeholders
Comfortable working in environments where precision, auditability, and trust in data are mission-critical
Preferred
Experience in a public or IPO-bound company a plus
Company
HighLevel
HighLevel is a marketing and advertising platform that captures message leads via voicemail, SMS, emails, FB messenger, and more.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$60MKey Investors
General AtlanticPeakequity
2024-04-11Private Equity
2021-11-04Private Equity· $60M
Leadership Team
Varun Vairavan
Co-Founder
Joyce Boss
Chief Financial Officer
Recent News
bloomberglaw.com
2025-12-10
EIN Presswire
2025-12-02
2025-11-28
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