Staff Analytics Engineer

Job not on LinkedIn

4 hours ago

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

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HighLevel

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SaaS • Marketing • B2B

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

201 - 500 employees

Founded 2018

☁️ SaaS

🤝 B2B

💰 Series A on 2021-11

📋 Description

• 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

🎯 Requirements

• 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 (experience in a public or IPO-bound company a plus) • 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.