Senior Data and Analytics Engineer

Skills

About the Role

You will build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets. You will translate business requirements and KPI definitions into governed transformation logic, support self-service analytics, apply modeling standards, and ensure appropriate handling of sensitive data.

Requirements

• 5+ years of analytics engineering, BI engineering, data engineering, or hybrid modeling experience
• Dimensional modeling and semantic design skills
• SQL proficiency
• Experience with cloud data platforms such as Databricks
• Ability to translate ambiguous business requirements into auditable, reusable data models
• Data engineering fluency in transformations, testing, performance tuning, and production deployment
• Understanding of data business meaning and usage constraints
• Experience working directly with business stakeholders

Responsibilities

• Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets
• Translate domain requirements and KPI definitions into governed, testable, reusable transformation logic
• Apply and improve enterprise modeling standards, naming conventions, semantic definitions, and promotion rules
• Create reusable analytical patterns for self-service analytics
• Design semantic views and curated layers for BI tools, Databricks SQL, and AI/BI experiences
• Ensure data sensitivity, classification, and approved use inform modeling and semantic exposure
• Review domain-contributed data models for production readiness and alignment with enterprise definitions
• Provide documentation, examples, patterns, and technical guidance to domain teams

Benefits

• Bonus
• Equity
• Benefits package