Director of Engineering, Data - Boulevard

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. Our roots may be in hair salons, but we are built for the broader self-care industry, including spas, medspas, barbershops, and more.

The Role

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. You will lead a high-impact team of data engineers, with a mandate to grow and scale the organization.

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 models and LLMs.

What You'll Do

• Technical Leadership: Define and execute the long-term technical strategy for Boulevard's data platform, ensuring scalability and reliability.
• Team Building: Lead, mentor, and grow a team of data platform engineers, establishing best practices and fostering a culture of excellence.
• Cross-Functional Collaboration: Partner closely with Product Management, Product Engineering, and the Data Insights team.
• Architecture & Design: Drive architectural decisions for data systems, balancing current needs with future flexibility and scalability.
• Operational Excellence: Establish monitoring, alerting, and operational practices that ensure high availability and performance.
• Standards & Governance: Define and implement data governance policies, security standards, and quality frameworks.

What You'll Need to Thrive

• 10+ years of experience in data platform engineering, distributed systems, or infrastructure engineering, with deep expertise in building scalable data processing systems.
• 5+ years of people management experience, including managing senior engineers and technical leads.
• Proven track record of building data platforms and ML systems that support both internal analytics and customer-facing data products.
• Experience delivering customer-facing reporting, dashboards, and analytics features in collaboration with Product teams.
• Strong experience with modern data stack technologies (dbt, Airflow, Snowflake, Kafka, etc.).
• Deep understanding of data governance, quality frameworks, and security best practices.
• A strategic mindset with the ability to translate business goals into technical roadmaps.

Benefits & Perks

• 401(k) match plus dental, medical, vision, and life insurance
• Flexible vacation day policy
• Fully remote setup with a monthly work-from-home stipend
• Family planning resources and specialized support programs
• Equity to grow with the company
• Boulevard Bucks Learning and Development program