Senior Business Intelligence Analytics Engineer
Core
Design and deliver trusted data models, semantic views, and AI-driven analytics solutions for BI, financial reporting, and product analytics.
Role type
Senior Business Intelligence Analytics Engineer (Data Modeling & AI Integration)
Builds
Trusted data models, Snowflake semantic views, and natural language querying interfaces for business stakeholders.
Domain
SaaS / IT Device Management / Cloud Data Warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Large-scale data warehouse modeling (1B+ rows), dbt (modeling, testing, documentation), Snowflake semantic layer design, NLP/Text-to-SQL pipeline development, data quality frameworks, cross-functional stakeholder management, code ownership and review.
Preferred skills
Scrum/Kanban, Apple products and SaaS business models.
Technologies
Snowflake, dbt, Snowflake Cortex Analyst, SQL.
Responsibilities
Design and build downstream data models using Trusted Data Development workflow; maintain Snowflake semantic views with rich metadata for AI querying; partner with AI Architecture teams to bridge structured analytics with natural language interfaces; set engineering standards for high-scale SQL and dbt; champion data quality through testing frameworks and profiling; own stakeholder relationships to translate requirements into data designs; drive Data Platform optimization and governance; upskill analysts and business partners.
Seniority
Senior, hands-on IC