Boulevard is a client experience platform for appointment-based self-care businesses, aiming to empower customers in the self-care industry. The Senior Data Engineer will design, build, and scale core data systems and collaborate with cross-functional teams to address complex data challenges and develop high-quality data solutions.
Responsibilities:
- Extend, optimize, and maintain core data models that support customer facing reports, machine learning, and generative AI workloads
- Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products
- Implement data quality, observability, and governance frameworks to ensure reliable, well-managed data at scale
- Document data flows, integration contracts, and operational runbooks to support efficient scaling and handoff
Requirements:
- 5+ years of experience in Data Engineering
- Strong proficiency in SQL and Python
- Deep expertise in the modern data stack, including dbt, Snowflake, and Looker/Omni. Experience with streaming, Kafka or Flink is a plus
- Strong understanding of semantic layer design, dimensional modeling, and data architecture best practices
- Broad knowledge of data governance, data quality, observability, and analytics/security best practices
- Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams