Engineer Jobs

About The Position

Requirements

• At least 8 years of experience in analytics engineering, data engineering, business intelligence, or data architecture, including substantial hands-on ownership of production analytical models.
• Advanced SQL skills 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 a metric supports and the consequences of errors, and clarify why its definition is what it is.
• Track record of leading technical initiatives across teams without formal authority and translating ambiguous business requirements into architecture.
• Strong written and verbal communication skills with technical and finance/business stakeholders.

Nice To Haves

• Experience with Snowflake, Power BI, and dbt.
• Experience with SaaS or recurring-revenue metrics such as ARR, retention, and cohorts.
• Hands-on experience with semantic layers, metric stores, or context layers designed for LLM or agent consumption, such as Cortex Analyst, dbt Semantic Layer, or Cube.
• Transferable depth and demonstrated curiosity in AI-native analytics; the posting notes that this area is new for everyone and does not require years of experience.
• Experience integrating acquired-company data into enterprise models.
• Familiarity with CRM, ERP, and financial planning systems as analytical sources.

Responsibilities

• Design and build governed analytical data models and a semantic layer in Snowflake, translating approved ARR, NARR, retention, and customer-lifecycle definitions into reusable, versioned calculation logic.
• Create a machine-readable metric and context registry so definitions, relationships, and calculations are interpreted consistently across Power BI, self-service tools, and AI-driven interfaces.
• Integrate acquired businesses into the governed metric layer, including entity mapping, definition reconciliation, and historical restatement.
• Design and implement AI-native analytical capabilities using Snowflake’s Cortex ecosystem and governed semantic models; evaluate approaches for reliable natural-language and agent-based access and recommend how they can scale on the standardized platform.
• Evolve Power BI from fragmented functional reporting toward integrated cross-functional views connecting commercial activity, product performance, and financial outcomes.
• Implement reconciliation, validation, lineage, and monitoring controls to make analytical outputs reproducible, traceable, and suitable for financial reporting governance and audit support.
• Set technical standards and reusable patterns for modeling, dbt usage, testing, and documentation so analysts and engineering partners can work consistently without central bottlenecks.
• Identify upstream data-quality and architectural issues and drive their resolution with system owners.
• Partner with IT and Data Engineering to establish analytical requirements, interfaces, validation standards, and data models for downstream consumption.
• Work with business-facing teams and the owner of ARR/NARR definitions to understand business questions and turn recurring needs into reusable assets.

Benefits

• Competitive compensation
• Comprehensive benefits
• Flexible work environment
• Annual wellness and community outreach days
• Flexible time off
• Comprehensive well-being program
• Two paid Wellbeing Days per year
• Two paid Volunteer Days per year
• Three-week Work from Anywhere option
• The role may be eligible for variable compensation and/or equity.