Senior Data Engineer

Hydrafacial is a global category-creating company focused on innovative beauty health experiences. They are seeking a Senior Data Engineer to lead BI development and enhance Power BI architecture, ensuring strong governance and operational visibility across the BI function.

Responsibilities:

• Lead BI development and elevate our Power BI architecture, data modeling standards, and engineering discipline
• Build scalable semantic models, modernize development practices, mentor developers, and establish strong governance and operational visibility across the BI function
• Set the standard for BI development practices, documentation, and delivery transparency
• Ensure strong operational reporting and pipeline visibility
• Lead and mentor BI developers while establishing architectural and coding standards
• Implement structured development workflows using PBIP and Git-based version control
• Conduct design and code reviews to ensure quality, consistency, and performance
• Embed documentation and governance practices into the development lifecycle
• Manage BI development backlog and priorities
• Track and report on delivery metrics, pipeline health, and release status
• Provide clear, executive-ready updates on initiative progress and risks
• Analyze team performance to improve efficiency and throughput
• Lead structured requirement gathering and solution design processes
• Produce and maintain clear technical and functional documentation that supports scalability, audit readiness, and knowledge transfer
• Document data models, business logic, calculation methodologies, and deployment processes
• Embed documentation and review checkpoints into the development lifecycle
• Operate within formal service management frameworks
• Manage BI-related incidents, requests, and changes through structured tracking systems
• Ensure production stability, reliability, and continuous improvement
• Develop KPI frameworks that improve service performance and customer satisfaction
• Enable proactive monitoring and root cause analysis
• Increase automation to improve reporting efficiency

Requirements:

• 6+ years of enterprise BI experience
• Advanced Power BI expertise:
• Complex DAX development
• Semantic model design and optimization
• Star schema data modeling
• Performance tuning large datasets
• Row-level security implementation
• Experience working with Snowflake or other enterprise cloud data platforms
• Strong SQL skills
• Experience implementing Power BI Projects (PBIP)
• Experience using Git-based version control systems
• Demonstrated experience producing structured technical and solution documentation
• Experience working within formal IT service management environments
• Experience managing development backlogs and providing delivery status reporting
• Experience leading or mentoring BI developers
• Excellent verbal and written communication skills
• Strong customer-service mindset
• Experience modernizing or scaling BI functions within a growing organization
• Familiarity with DevOps principles and CI/CD practices for analytics solutions
• Experience improving enterprise data models in partnership with data engineering teams
• Experience applying AI or advanced analytics techniques within reporting and analytics environments (e.g., automation, anomaly detection, predictive insights, AI-assisted development workflows)
• Exposure to modern productivity or AI-assisted development tools
• Industry certifications (Power BI, Azure, ITIL, or related)
• Experience supporting global or publicly traded organizations