Director of Engineering, Data

Boulevard provides a client experience platform for appointment-based self-care businesses. The Director of Engineering, Data will build and lead the technical foundation for Boulevard’s data ecosystem, including data infrastructure, governance, ML capabilities, security, and data-driven products. The role will also lead the data engineering team and establish scalable systems that support company-wide insights and customer-facing experiences.

Responsibilities:

• Build and maintain scalable, reliable data pipelines and infrastructure
• Partner with the insights team, product management and product engineering to power reporting dashboards, analytics features, and data-driven customer experiences
• Establish frameworks for data integrity, lineage, and compliance
• Ensure data protection, access controls, and regulatory compliance (including HIPAA)
• Provide the foundation and standards for machine learning and AI capabilities
• Design and optimize data processing systems for various use cases
• Enable seamless data flow between systems and external partners
• Continue building out scalable data infrastructure using tools like dbt, Airflow, and real-time streaming platforms
• Collaborate with Product Management and Product Engineering to deliver customer-facing reporting, dashboards, and analytics features
• Build robust data pipelines that enable the Data Insights team to deliver external benchmarking and internal business intelligence
• Establish comprehensive data quality monitoring, lineage tracking, and governance policies
• Build tools and frameworks that enable other teams to safely and efficiently work with data
• Strengthen data protection, access controls, and ensure HIPAA compliance across all data systems
• Continuously improve cost, speed, and reliability of data processing systems
• Provide robust foundation for training, deployment, and monitoring of machine learning models and LLMs
• Define and execute the long-term technical strategy for Boulevard's data platform, ensuring scalability and reliability as we grow
• Lead, mentor, and grow a team of data platform engineers, establishing best practices and fostering a culture of excellence
• Partner closely with Product Management, Product Engineering, and the Data Insights team to understand requirements and deliver platform capabilities that enable customer-facing data products and internal insights
• Drive architectural decisions for data systems, balancing current needs with future flexibility and scalability
• Establish monitoring, alerting, and operational practices that ensure high availability and performance of data systems
• Define and implement data governance policies, security standards, and quality frameworks across the organization
• Work with leadership to align data platform roadmap with business objectives and technical strategy

Requirements:

• 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, balancing short-term execution with long-term vision