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Director of Engineering (Data)

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Onsite

Director of Engineering (Data)

Boulevard

Director of Engineering (Data)

Skills

Product ManagementKafkaSnowflakeData AnalysisMachine LearningAIdbtGDPRApache AirflowComplianceRegulatory Compliance

2 months ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $270,000 / year

Location:

United States

Work mode:

Onsite

Published on:

12 August 2026

What they need


  • 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
  • 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
  • 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
  • Technical Leadership: Define and execute the long-term technical strategy for Boulevard’s data platform, ensuring scalability and reliability as we grow
  • 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 to understand requirements and deliver platform capabilities that enable customer-facing data products and internal insights
  • 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 of data systems
  • Standards & Governance: Define and implement data governance policies, security standards, and quality frameworks across the organization
  • Strategic Planning: Work with leadership to align data platform roadmap with business objectives and technical strategy

Benefits

  • Flexible Vacation & PTO
  • 401k Match
  • $250 upon signing and $75 monthly for your home workspace
  • Premier Health Benefits - 100% coverage plan options from Blue Shield of CA, Beam, and VSP
  • Quarterly Bonus - Get rewarded when we reach our revenue targets
  • Boulevard Bucks - Get $200 to experience a Boulevard partner or self-care provider every quarter
  • Fully Remote- 10+ years of experience in data platform engineering, distributed systems, or infrastructure engineering, with deep expertise in building scalable data processing systems
  • A strategic mindset with the ability to translate business goals into technical roadmaps, balancing short-term execution with long-term vision
  • 5+ years of people management experience, including managing senior engineers and technical leads
  • Deep understanding of data governance, quality frameworks, and security best practices
  • Proven track record of building data platforms and ML systems that support both internal analytics and customer-facing data products
  • Strong experience with modern data stack technologies (dbt, Airflow, Snowflake, Kafka, etc.)
  • Experience delivering customer-facing reporting, dashboards, and analytics features in collaboration with Product teams

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