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6 дней назад

Staff Business Analytics Engineer (Snowflake)

166 500 - 244 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Business Analytics Engineer (Snowflake): Building a governed semantic layer and analytical foundation in Snowflake with an accent on reusable metric logic, enterprise BI, data quality, and AI-native analytics. Focus on integrating acquired businesses, implementing auditable ARR/NARR and retention metrics, and enabling reliable natural-language and agent-based access to business information.

Location: Hybrid role based in the Sunnyvale, California headquarters, 4 days a week.

Base pay range for the San Francisco Bay Area: $166,500–$244,200 USD annually. The role may also be eligible for variable compensation and/or equity.

Company

hirify.global provides human- and agent-centric cybersecurity solutions across email, cloud, collaboration tools, data loss prevention, and AI workflows.

What you will do

  • Design and build governed analytical data models and a semantic layer in Snowflake, translating Finance-approved ARR, NARR, retention, and customer lifecycle definitions into reusable, versioned logic.
  • Create a machine-readable metric and context registry for consistent use across Power BI, self-service tools, and AI-driven interfaces.
  • Integrate acquired businesses through entity mapping, definition reconciliation, historical restatement, and governed metric-layer implementation.
  • Design AI-native analytical capabilities using Snowflake Cortex and governed semantic models for reliable natural-language and agent-based access.
  • Evolve Power BI toward integrated cross-functional reporting spanning commercial activity, product performance, and financial outcomes.
  • Implement reconciliation, validation, lineage, monitoring, modeling, testing, and documentation standards while driving upstream data-quality resolution.

Requirements

  • 8+ years in analytics engineering, data engineering, BI, or data architecture, including substantial hands-on ownership of production analytical models.
  • Advanced SQL and deep expertise in dimensional and semantic modeling on a modern cloud data platform.
  • Experience building enterprise BI and governed self-service reporting at scale.
  • Experience implementing governed business metrics, reconciliation controls, and consistent analytical definitions across enterprise reporting environments.
  • Ability to start from the business question, understand the decision supported by a metric, and assess the impact of incorrect definitions before designing the solution.
  • Experience leading technical initiatives across teams without formal authority and converting ambiguous business requirements into architecture.
  • Strong written and verbal communication with technical and finance/business stakeholders.

Nice to have

  • Snowflake, Power BI, and dbt experience.
  • Experience with SaaS or recurring-revenue metrics such as ARR, retention, and cohorts.
  • Hands-on experience with semantic layers, metric stores, or context layers for LLM or agent consumption, including Cortex Analyst, dbt Semantic Layer, Cube, or similar.
  • Experience integrating acquired-company data into enterprise models.
  • Familiarity with CRM, ERP, and financial planning systems as analytical sources.

Culture & Benefits

  • Hybrid work with a flexible work environment and global collaboration opportunities.
  • Competitive compensation and comprehensive benefits.
  • Flexible time off, two paid Wellbeing Days, and two paid Volunteer Days per year.
  • Three-week Work from Anywhere option, plus annual wellness and community outreach days.
  • Recognition programs and a culture focused on bold, responsive, accountable, visionary, and exceptional work.

Hiring process

  • Submit an application with any supporting information.
  • Accommodation is available during the application or interview process upon request.

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