Lead Data Engineer

Alo Yoga•Beverly Hills, CA

About The Position

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.

Requirements

Cloud platforms (AWS, GCP, Azure)
Event-driven and streaming architectures
CI/CD and infrastructure-as-code
dbt, SQL, Python
Batch and real-time pipelines
Medallion architecture
Tableau and ThoughtSpot
Semantic layers and KPI standardization
6-8+ years in data engineering or platform engineering
Experience with large-scale data platforms

Nice To Haves

Retail/e-commerce experience preferred

Responsibilities

Architect and own the end-to-end data platform, primarily on AWS
Design and scale event-driven architectures using Kinesis, Kafka, or similar
Build 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 optimization
Build pipelines for order lifecycle and SLA insights
Establish standards for data modeling, testing, CI/CD, and observability
Enable analytics via Tableau and ThoughtSpot
Partner with cross-functional teams across business domains
Act as technical leader and mentor across engineering teams