📋 Description

• Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets
• Partner with stakeholders to translate business requirements, metrics, and KPI definitions into
• Apply enterprise data modeling standards, naming conventions, semantic definitions, and promotion
• Develop reusable analytical patterns and data building blocks enabling teams to become increasingly
• Design semantic views and curated data layers to support BI tools, Databricks SQL, and AI/BI
• Work across domain boundaries where metrics and concepts intersect (e.g., G&A, GTM, workforce

🎯 Requirements

• 5+ years of experience in analytics engineering, BI engineering, data engineering, or a hybrid role
• Strong knowledge of dimensional modeling and semantic design (facts, dimensions, data grain
• Advanced SQL skills and experience with modern cloud data platforms, particularly Databricks.
• Ability to translate ambiguous business requirements into precise, auditable, reusable, and
• Strong data engineering knowledge including Silver-to-Gold transformations, data testing
• Ability to understand business meaning, context, and usage restrictions associated with data beyond

🎁 Benefits

• Competitive salary based on skills, experience, certifications, and work location.
• Bonus opportunities for eligible full-time employees.
• Comprehensive employee benefits package.
• Equity opportunities for eligible full-time employees.
• Temporary benefits after 60 days, where applicable.
• Opportunities to work on modern data platforms and enterprise-scale analytics initiatives.