[All remote jobs](https://jobicy.com/jobs.md)Open role[![Boulevard logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/a45167e12b0ed51058a884cf9cd0c76f.png)](https://jobicy.com/company/boulevard.md)Remote opportunity at[Boulevard](https://jobicy.com/company/boulevard.md) # Director of Engineering, Data Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/boulevard.md)Share21 Aug 2026Published23Listing views2Application actions20 Sep 2026Apply before Opportunity details ## About this role. AI SummaryBoulevard is seeking a senior engineering leader to own the strategy, architecture, reliability, and scalability of its data platform. The Director will lead and grow a team of data platform engineers while building infrastructure for batch and real-time pipelines, analytics products, governance, security, and ML/AI operations. The role partners closely with Product, Product Engineering, and Data Insights to deliver both internal intelligence and customer-facing reporting capabilities. Success requires deep hands-on judgment in modern data systems, strong people leadership, and the ability to align a long-term platform roadmap with business priorities. HIPAA compliance, data privacy, operational excellence, and self-service data enablement are central responsibilities. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a foundational director-level role spanning technical strategy, people leadership, cross-functional product delivery, and regulated data operations. The leader must make durable architectural decisions while scaling both the platform and the engineering organization in a fast-moving environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$245,000US market range$220k–$300k0$330k AI insightThe disclosed US base-salary offer is $220,000-$270,000 annually, producing a midpoint of $245,000. A competitive US market base-salary range for a Director of Data Engineering/Data Platform with 10+ years of technical experience and substantial people-management responsibility is approximately $220,000-$300,000; variable compensation and equity may increase total compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data Platform Engineering](https://jobicy.com/jobs?search_keywords=Data%20Platform%20Engineering.md)[Data Architecture](https://jobicy.com/jobs?search_keywords=Data%20Architecture.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Data Governance](https://jobicy.com/jobs?search_keywords=Data%20Governance.md)[Data Security and Privacy](https://jobicy.com/jobs?search_keywords=Data%20Security%20and%20Privacy.md)[HIPAA Compliance](https://jobicy.com/jobs?search_keywords=HIPAA%20Compliance.md)[dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Apache Airflow](https://jobicy.com/jobs?search_keywords=Apache%20Airflow.md)[People Leadership](https://jobicy.com/jobs?search_keywords=People%20Leadership.md) Sample interview questionsHow would you develop a multi-year data-platform strategy that supports both internal analytics and customer-facing data products?I would begin by mapping critical business and product use cases to current data flows, reliability gaps, privacy obligations, and scale projections. I would then define a target architecture and sequence investments into near-term reliability wins, shared platform capabilities, and longer-term strategic initiatives, using measurable service-level objectives, adoption metrics, and cost targets to guide tradeoffs. Describe how you would establish data governance and quality practices in an organization that is scaling rapidly. I would create clear ownership for core data domains, define data contracts and quality expectations, and implement automated testing, freshness monitoring, lineage, and incident processes. Governance should be practical rather than bureaucratic, so I would provide self-service standards and tooling that make compliant, high-quality data usage the easiest path for engineering and analytics teams. What is your approach to leading a team responsible for both platform reliability and new product-enabling capabilities? I would balance the portfolio explicitly by reserving capacity for operational health, technical debt, and strategic delivery, rather than treating reliability work as incidental. Clear service-level objectives, on-call practices, prioritization forums, and transparent roadmap communication help the team protect existing systems while delivering capabilities that unlock product and business value. How would you evaluate and design an architecture for batch processing, streaming, and ML/AI workloads? I would start with workload characteristics such as latency, volume, correctness requirements, cost, data sensitivity, and user impact. The architecture should use shared, governed storage and metadata foundations where possible, while selecting specialized processing patterns only when their operational cost is justified by the use case; model training, deployment, and monitoring must also have reproducible data and strong access controls. How do you communicate complex data-platform tradeoffs to product and executive stakeholders? I translate technical choices into business outcomes such as customer experience, reporting accuracy, delivery speed, compliance exposure, reliability, and cost. I present a small number of viable options with their risks, investment needs, and recommended decision, then maintain alignment through concise roadmap updates and measurable progress indicators. 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](https://www.joinblvd.com/). 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](https://www.joinblvd.com/about). 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 models and LLMs ### What You’ll Do Here * 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 ### 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, balancing short-term execution with long-term vision. ### 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 U.S. based candidates, the anticipated base salary range is $220,000 – $270,000 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. In addition to the wonderful people you’ll get to work with and challenging projects that’ll push you: * ✨ We’ve got you covered with a 401(k) match plus dental, medical, vision, and life insurance * 🏝 Take a break whenever you need with our flexible vacation day policy * 🖥 Fully remote so you can choose where you want to work. You’ll receive a work from home stipend every month * 💚 Family planning resources and specialized support programs * 🔮 Equity: get ahead on the ground floor and grow with Boulevard * 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve 📲 We recommend following[our official LinkedIn page](https://www.linkedin.com/company/boulevard/) to stay up to date on all things Boulevard life! Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. In addition to the wonderful people you’ll get to work with and challenging projects that’ll push you – Boulevard is here to make sure you’re always at the top of your game emotionally, mentally, and physically. * ✨ We’ve got you covered with a 401(k) match plus dental, medical, vision, and life insurance. * 🏝 Take a break whenever you need with our flexible vacation day policy. * 🖥 Fully remote so you can choose where you want to work. You’ll receive a work from home stipend every month. * 💚 Family planning resources and specialized support programs. * 🔮 Equity: get ahead on the ground floor and grow with Boulevard. * 💅 Boulevard Bucks Learning and Development program allows employees to explore businesses in the market we serve. 📲 We recommend following [our official LinkedIn page](https://www.linkedin.com/company/boulevard/) to stay up to date on all things Boulevard life! Boulevard Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at Boulevard Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. 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