Who is 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.

Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could 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. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen.

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. Do our values match? Read through our story and what we value the most.

Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too.

Come do the best work of your life at Boulevard.

We're hiring a Director of Engineering - Data to build and lead the technical foundation that powers Boulevard's data ecosystem and products. This role is responsible for our data infrastructure, data governance, ML capabilities and the underlying systems that enable data-driven products and decision-making across the company.

Reporting to the SVP of Engineering, you'll play a critical leadership role in establishing Boulevard's data platform as a strategic competitive advantage. Your work will shape how data is collected, processed, and leveraged across the company - driving insights, powering product innovation, and ensuring operational excellence. You will ensure that data is reliable, secure, performant, and accessible to support our growing customer base and internal teams. You'll lead a high-impact team of data engineers, with a mandate to grow and scale the organization. This is a foundational role where you'll architect and build systems that will support Boulevard's growth for years to come.

Domains of Ownership

Data Infrastructure & Platform Engineering - Build and maintain scalable, reliable data pipelines and infrastructure
Data Products - Partner with the insights team, product management and product engineering to power reporting dashboards, analytics features, and data-driven customer experiences
Data Governance & Quality - Establish frameworks for data integrity, lineage, and compliance
Data Security & Privacy - Ensure data protection, access controls, and regulatory compliance (including HIPAA)
ML/AI Platform Operations - Provide the foundation and standards for machine learning and AI capabilities
Real-time & Batch Processing - Design and optimize data processing systems for various use cases
Data Integration & APIs - Enable seamless data flow between systems and external partners

Key Projects & Initiatives

Modern Data Infrastructure: Continue building out scalable data infrastructure using tools like dbt, Airflow, and real-time streaming platforms
Customer Data Products: Collaborate with Product Management and Product Engineering to deliver customer-facing reporting, dashboards, and analytics features
Data Platform for Insights: Build robust data pipelines that enable the Data Insights team to deliver external benchmarking and internal business intelligence
Data Governance Framework: Establish comprehensive data quality monitoring, lineage tracking, and governance policies
Platform Self-Service: Build tools and frameworks that enable other teams to safely and efficiently work with data
Security & Compliance: Strengthen data protection, access controls, and ensure HIPAA compliance across all data systems
Performance Optimization: Continuously improve cost, speed, and reliability of data processing systems
ML/AI Infrastructure: Provide robust foundation for training, deployment, and monitoring of machine learning

Director of Engineering, Data at Boulevard