Staff Data Engineer

About Boulevard

Boulevard provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most.

Our founders spent months interviewing salon managers and working behind front desks to understand their pain points and design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more.

We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Our team values and celebrates our diverse backgrounds, and we believe in equal opportunity for all.

Role Overview

We're hiring a Staff Data Engineer to architect and lead the data foundation powering Boulevard's data products. You'll own our data platform, visualization, advanced machine learning capabilities, and the systems that enable data-driven products and decision-making across the company.

Reporting to the Director of Data Engineering, you'll play a critical role in architecting, designing, developing, and maintaining the data ecosystems and analytics capabilities that power customer-facing products. You'll drive complex, high-impact data initiatives that enhance product performance and customer experience through actionable insights and robust analytical frameworks.

Domains of Ownership

• Data Architecture - Design, build, and maintain foundational data models that serve as the single source of truth for analytics across both internal and external stakeholders.
• Cross-Functional Collaboration - Partner with Product, Engineering, and Analytics teams to scope and deliver new initiatives, develop analytics features, and create data-driven customer experiences.
• Scalable Data Products - Develop frameworks, tools, and workflows that enhance efficiency and scalability, ensuring high standards of data quality, consistency, and performance.
• AI Innovation & Actionable Insights - Translate business requirements into scalable data models, dashboards, and analytical tools. Proactively identify opportunities for anomaly detection, predictive analytics, recommendations, forecasting, and AI-driven innovation.
• Impact-Focused Solutions - Deliver measurable business impact through data-driven initiatives.