Lead Data Engineer

Lead Data EngineerMindful movement. It's at the core of why we do what we do at ALO—it's our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That's the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.We are looking for a Lead Data Engineer to architect, build, and evolve the foundational data platform that powers analytics, real-time decisioning, and operational intelligence across Alo.This role is for a deeply experienced builder who has designed production-grade data systems end to end—from event ingestion and transformation to modeling, serving, and governance—and understands how to make them reusable, reliable, and scalable.You will define the technical backbone for how teams ingest, process, and act on data across both batch and real-time systems, enabling marketing automation, inventory intelligence, and order fulfillment visibility.RequirementsArchitect and own the end-to-end data platform, primarily on AWSDesign and scale event-driven architectures using Kinesis, Kafka, or similarBuild and evolve Medallion architecture (Bronze/Silver/Gold)Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake)Enable real-time marketing use cases (segmentation, triggers, personalization)Design systems for inventory intelligence and allocation optimizationBuild pipelines for order lifecycle and SLA insightsEstablish standards for data modeling, testing, CI/CD, and observabilityEnable analytics via Tableau and ThoughtSpotPartner with cross-functional teams across business domainsAct as technical leader and mentor across engineering teamsQualificationsPlatforms & InfrastructureCloud platforms (AWS, GCP, Azure)Event-driven and streaming architecturesCI/CD and infrastructure-as-codeData Engineeringdbt, SQL, PythonBatch and real-time pipelinesMedallion architectureAnalytics & Data ProductsTableau and ThoughtSpotSemantic layers and KPI standardizationExperience6-8+ years in data engineering or platform engineeringExperience with large-scale data platformsRetail/e-commerce experience preferredThe base salary range for this position is $180,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company's total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.For CA residents, Job Applicant Privacy Policy HERE.