Business Intelligence Engineer IV
About The Position
This is a senior technical leader role responsible for architecting, engineering, and delivering complex, enterprise-level data product ecosystems. The role involves translating ambiguous business needs into robust full-stack technical solutions, owning system architecture and performance strategy, and mentoring a team of engineers to enhance the department's engineering maturity. The individual will be an expert in the full BI stack, from database optimization to application UX architecture, and will tackle the most complex, ambiguous problems spanning multiple systems. This position serves as a primary technical advisor to leadership and formally mentors other engineers. The role is hybrid, with some days eligible for work-from-home and others on-site in Sacramento. This position is for California residents only.
Requirements
- Equivalent experience will be accepted in lieu of the required degree or diploma.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Epic Cogito Certification within one year of start date.
- Multiple tool-specific certifications within one year of start date.
- 5 years of progressive, hands-on experience in BI Engineering, Data Product Development, or Full Stack Analytics.
- Experience architecting and designing new, complex data solutions and data marts from scratch.
- Experience translating ambiguous business requirements into robust technical solutions.
- Experience formally mentoring other engineers.
- Expert-level, full-stack skills (Expert SQL, ETL, Data Modeling, Application Design) in a hybrid environment.
- Expert proficiency in both Tableau and Power BI.
- Expert-level SQL skills, including advanced performance tuning and database optimization.
- Expert in the full MS BI Stack (SSIS, SSAS, SSRS, Power BI) and Tableau architecture.
- Expert in data modeling (Star Schema, Snowflake) and data warehouse architecture.
- Deep knowledge of ALM, CI/CD, and DevOps for Analytics.
- Ability to solve complex, ambiguous problems with minimal guidance.
- Excellent communication, presentation, and negotiation skills.
Responsibilities
- Architect, engineer, and deliver complex, enterprise-level data product ecosystems.
- Translate highly ambiguous business needs into robust full-stack technical solutions.
- Own the system architecture and performance strategy.
- Mentor a team of engineers to elevate the engineering maturity of the department.
- Solve the most complex, ambiguous problems that span multiple systems.
- Act as a primary technical advisor to leadership.
- Formally mentor other engineers.
Benefits
- Comprehensive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
