Business Intelligence Engineer IV
About The Position
This position will support Sutter Health’s value-based care programs. It is a senior technical leadership role responsible for architecting, engineering, and delivering complex, enterprise-level data product ecosystems. The role translates highly ambiguous business needs into robust full-stack technical solutions, owning the system architecture, performance strategy, and mentoring a team of engineers to elevate the engineering maturity of the department. The individual is an expert in the full BI stack, from database optimization to application UX architecture, and is responsible for solving the most complex, ambiguous problems that span multiple systems. This role acts as a primary technical advisor to leadership and formally mentors other engineers. While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the Sacramento office on a consistent basis to support team collaboration and business needs.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent experience.
- 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.
Nice To Haves
- Power BI, SQL, SSRS, SSIS environment.
- Epic Caboodle and Clarity.
Responsibilities
- Architect, engineer, and deliver complex, enterprise-level data product ecosystems.
- Translate highly ambiguous business needs into robust full-stack technical solutions.
- Own 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
