Boulevard

Lead Data Engineer

Job description

BOULEVARD | ABOUT US
Boulevard was founded with the fundamental belief that personal care should be convenient for all. Our mission is to maximize potential for salons and spas, as well as the clients they serve.

Developed in collaboration with industry-leading owners and operators, our scheduling, point of sale, and conversation platform was carefully designed to drive revenue, automate workflows, and convert customers from visitors into valuable, long-term clients. By facilitating a better, personalized experience across every transaction and interaction, Boulevard’s technology not only helps salons and spas to survive, but thrive. Take a look at how we (and YOU) can make that happen.

DARE TO DISRUPT | INSPIRE INNOVATION
We are diligent about solving hard problems and are not afraid to challenge conventions or question the status quo. If our ambitions aren't terrifying, we aren't pushing ourselves enough.
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.


Come do the best work of your life at Boulevard.

The data engineering team at Boulevard is responsible for the development and productization of our data warehousing, insights, and analytics systems. We’re looking for someone with a strong command of modern data pipelines, data modeling, and data operations. The ideal candidate will be responsible for building and maintaining the systems that expand upon our data infrastructure. You will work closely with leadership across Product Management, Engineering, Finance, and our C-Suite to , owning both the roadmap and delivery of their solutions.

What you’ll do here

    • Use best-in-class tooling (FiveTran, Snowflake, etc) to provide a comprehensive data foundation that will grow with the company.
    • Implement modern data transformation tooling alongside continuous integration to ensure consistent and automated evolution for our data warehousing
    • Expand upon Boulevard’s data pipelines by partnering with engineering leaders and teams across the company to ensure that we are producing and capturing data at the right time and in the right format for both our own product and internal needs
    • Turn data into a revenue driver - Let’s work together to expose data to our customers and partners in creative, elegant, and innovative ways (eg, by using Snowflake data sharing).
    • Provide guidance for how we model data across a variety of services
    • Drive excellence through thoughtful documentation and processes for all data-related services
    • Work with product owners & analysts to craft our data strategy and engineering roadmap
    • Work with business partners to gather, analyze, and translate requirements for our internal analytics needs
    • Research and evaluate new technologies to guide our continuous improvement

What you’ll need to thrive

    • Experience: 5+ years experience in a high-growth data environment.
    • Database Expert: Excellent SQL skills. Complicated SQL statements roll off your fingertips with ease
    • Technical Languages: Proficiency in multiple languages, such as Java, Python, Scala.
    • Strong Communicator: Strong verbal, written, and interpersonal communication skills across both technical and nontechnical teams
    • Analytical: Impressive problem-solving, critical thinking skills, business acumen within the SaaS industry
    • Timely: Able to prioritize and meet deadlines
    • BONUS POINTS: Experience building and leading data science and machine learning teams | A quantitatively focused education (Statistics, Economics, Computer Science, etc.) | Prior experience at a start-up or growth-stage company | Exposure to PCI, HIPAA, CCPA/GDPR.

Within 1 month you’ll...

    • Graduate from Boulevard’s platform training course
    • Connect with and understand how each department and key stakeholders across the company leverage data
    • Understand and document the current data landscape
    • Learn the core business objectives and company KPIs
    • Begin implementation of CICD managed workflows with dbt and GitHub.

Within 2 months you’ll…

    • Be contributing to the data engineering roadmap and corresponding hiring plan
    • Document and iterate on the lifecycle of our data pipelines
    • Suggest best practices and improvements for data infrastructure
    • Collaborate with our engineering and product teams to document and adhere to data compliance and privacy requirements

After 3 months you’ll...

    • Take ownership over our data pipelines and implement monitoring and observability goals
    • Actively participate in interviews and be a key contributor in the growth of the data team
    • Evolve our data warehousing strategy alongside production data model changes and the dimensional analysis goals for the product
    • Showcase to the engineering team and company your contributions and enhancements to our underlying foundation
BENEFITS
In addition to the wonderful people you’ll get to work with (meet some of them here!) 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.

Take a break
whenever you need to with our unlimited vacation day policy.
Fully remote so you can choose where you want to work.
Health is a priority so we’ve got you covered with dental, medical, vision, and life insurance.
Investing in the future with a 401(k) option.
Equity: get ahead on the ground floor and grow with Boulevard.

NOT CONVINCED?
Hear what Leo, one of our architects, has to say about life at Boulevard.
Read through what our customers are saying about our product.
Check out our latest product release and how we’re continuously working to improve.

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.

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