Staff Data Engineer

Come do the best work of your life at Boulevard.

We're hiring a Staff Data Engineer to architect and lead the data foundation powering Boulevard’s data products. In this role, 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. This senior technical role demands extensive expertise in data architecture, analytics engineering, and practical machine learning applications.

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 - Leverage modern analytics and development tools to deliver measurable business value quickly—while maintaining long-term scalability and maintainability.

Key Projects & Initiatives

• Customer-facing Data Products: Collaborate with Product Management and Engineering to deliver robust customer-facing reporting, dashboards, and analytics features.
• Snowflake Data Sharing - Design and implement secure, performant Snowflake data sharing solutions that empower customers to access and leverage data safely and efficiently.
• Data Visualization & Performance Optimization - Oversee data visualization platforms, optimizing data models and query performance to deliver fast, reliable, and intuitive analytics experiences.
• Machine Learning & AI Innovation - Develop and deploy machine learning solutions for recommendations, forecasting, anomaly detection, and predictive insights that enhance product intelligence.

What You'll Do Here

• Technical Architecture - Lead complex data initiatives by transforming ambiguous business needs into scalable architectures, pipelines, and analytical models that deliver impact.
• Cross-Functional Collaboration: Partner with Product Management, Product Engineering, and Analytics to understand requirements and deliver analytics platform capabilities for both external and internal stakeholders.
• Data Modeling & Design: Drive key semantic modeling design decisions that balance current reporting needs with future scalability and adaptability.

What You'll Need to Thrive

• Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline
• 7+ years of professional experience in Data Engineering 
• Proven track record of delivering data products, data platform capabilities in partnership with Product teams
• Deep expertise with modern data stack technologies: DBT, Snowflake, SQL, Python, and BI tools like Looker/Omni.
• Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design)
• Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices
• Excellent problem-solving, communication, and cross-functional collaboration skills, with experience working on global teams

How We'll Take Care of You

At Boulevard, we work hard to structure compensation in a way that balances internal equity with local market competitiveness, and we’re happy to share a good-faith estimate of the base salary range for this role. For candidates in NYC, the SF Bay Area, and Seattle, the anticipated base salary range is $174,500 - $205,000 per year. For all other U.S. locations, the anticipated base salary range is $160,000 - $207,400 per year. In addition to this base compensation, this role may be eligible to participate in a variable compensation program. Final compensation will vary based on a variety of factors which include but are not limited to applicable experience, location, and final leveling.