• Build and maintain production-grade ELT pipelines that ingest data from internal applications, third-party SaaS tools, and event streams into our BigQuery data warehouse. • Own specific data domains end-to-end — from raw ingestion through to marts — ensuring your areas of the warehouse are accurate, tested, and well-documented. • Write and maintain dbt models, tests, macros, and documentation within our established dbt project conventions and code review process. • Develop and manage Airflow DAGs on Cloud Composer or other similar tools to orchestrate data workflows, following patterns and standards set by the team. • Implement data quality checks and monitoring to catch anomalies before they reach downstream consumers. • Optimize BigQuery queries and models for cost and performance within your domain, escalating architectural tradeoffs to senior engineers when appropriate. • Collaborate with analysts and stakeholders to translate business data needs into well-scoped pipeline and modeling tasks. • Participate in on-call rotations, respond to pipeline incidents, and write clear postmortems. • Contribute to team documentation and runbooks so that your work is maintainable by others.

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. 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. 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 looking for a Senior Data/ML Engineer to help shape the next generation of our data platform and customer-facing data products. In this role, you will design, build, and scale the core data and machine learning systems that power our business and product experiences. You’ll collaborate closely with product, engineering, and cross-functional partners to tackle complex data challenges, develop impactful ML use cases, and create reliable, high-quality data solutions tailored to our customers’ needs. What you’ll do here: - Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads. - Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency. - 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. What you'll need to thrive: - 5+ years of experience in data engineering, plus hands-on exposure to machine learning, MLOps, or backend workflow automation. - Strong proficiency in SQL and Python, with experience using ML frameworks. - Deep expertise in the modern data stack, including dbt, Snowflake, and Looker/Omni. Experience with 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. - Experience building products using LLMs, embeddings, and other ML technologies, including hands-on work with Snowflake Cortex for generative AI, recommendations, or forecasting. - Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional 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 $164,000 - $205,000 per year. For all other U.S. locations, the anticipated base salary range is $151,000 - $194,200 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 - 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 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Cloud Data Platform Administrator is the hands-on technical resource responsible for implementing, securing, and operating the Enterprise Data Platform (EDP). This role owns end-to-end platform operations, security configuration, governance enablement, and cost control—ensuring the environment is compliant, reliable, and optimized for secure analytics and AI/ML workloads at scale. - Implement, secure, and operate AWS-based data platform environments - Provision and administer AWS GovCloud infrastructure (networking, compute, storage, IAM, monitoring) - Implement secure-by-default configurations aligned to agency security baselines - Establish monitoring, alerting, dashboards, and operational health checks - Maintain runbooks, documentation, and operational procedures - Configure audit logging and access visibility (CloudTrail, CloudWatch) - Support compliance evidence collection and security reviews - Coordinate secure networking (PrivateLink, VPC, egress controls, firewall/proxy integration) - Implement cost guardrails (auto-termination, cluster policies, scheduling, workload sizing) - Produce cost optimization insights and capacity planning forecasts - Automate platform configuration using Terraform, CLI, and REST APIs - Manage CI/CD promotion across SDLC environments - Support change control for upgrades, configuration updates, and integrations - Build and manage POC environments with repeatable and controlled provisioning - Manage third-party integrations including BI tools (e.g., Power BI) - Facilitate user onboarding, workspace provisioning, and enablement documentation Qualifications - Bachelor’s degree in related field or equivalent practical experience - 3+ years building AWS infrastructure using Terraform - 3+ years building CI/CD pipelines (Azure DevOps or GitLab preferred) - Strong AWS expertise: - IAM roles & policies - S3 security & bucket policies - KMS encryption key management - VPC networking concepts - CloudWatch & CloudTrail integration - PrivateLink - Secrets Manager / Systems Manager - Cross-account access patterns - Identity & Access Management: - SSO concepts - SCIM provisioning - Group-based RBAC - Service principals - Least-privilege patterns - Security fundamentals: - Secrets management - Secure connectivity - Audit logging - Access monitoring - Automation & Infrastructure as Code (Terraform, CLI, REST APIs) - Strong troubleshooting and incident communication skills Requirements - SQL proficiency & data engineering fundamentals - ETL/ELT workflow understanding - Python or Scala familiarity - Experience with compliance frameworks: - FedRAMP - HIPAA - SOC2 - SLA/SLO and incident management experience - Vendor management experience (e.g., Databricks account teams) - AWS Certified Solutions Architect (Associate or Professional)

• Design and operate batch and streaming data pipelines. • Architect and evolve data storage layers (lake, analytical, operational). • Develop scalable data models for analytics, ML, and operational systems. • Ensure data quality, consistency, and observability across pipelines. • Implement real-time processing using event-driven architectures. • Build ingestion and transformation workflows (ETL/ELT). • Own backfills, reprocessing strategies, and data migrations. • Implement CI/CD, monitoring, and SLA-driven operational practices. • Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions. • Contribute to data platform standards and best practices.