Senior Data Engineer – Real-Time Data Platform Architect

Aloyoga

Beverly Hills (CA)

On-site

USD 140,000 - 180,000

Full time

7 days ago
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Job summary

Alo Yoga in Beverly Hills, CA, seeks a Senior Data Engineer to build and scale the data platform powering analytics, real-time decisioning, and operational intelligence across the business. This role focuses on production-grade data systems for ingestion, transformation, and serving to enable marketing automation, inventory intelligence, and order fulfillment visibility.

You will implement batch and real-time pipelines on AWS, develop Medallion architecture, and mentor junior engineers while

Qualifications

  • 3–5+ years in data engineering or platform engineering
  • Experience with large-scale data platforms
  • Retail/e-commerce experience preferred

Responsibilities

  • Build core components of the data platform on AWS
  • Scale event-driven pipelines using Kinesis, Kafka, or similar
  • Develop Medallion architecture (Bronze/Silver/Gold)
  • Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery)
  • Support real-time marketing use cases (segmentation, triggers, personalization)
  • Build data models and pipelines for inventory intelligence and allocation optimization
  • Build pipelines for order lifecycle and SLA insights
  • Apply and help improve standards for data modeling, testing, CI/CD, and observability
  • Partner with cross-functional teams across business domains
  • Mentor junior engineers and participate in code reviews

Skills

Event-driven pipelines
Data modeling
CI/CD
Mentoring juniors

Tools

dbt
SQL
Python

Job description

Alo Yoga in Beverly Hills, CA, seeks a Senior Data Engineer to build and scale the data platform powering analytics, real-time decisioning, and operational intelligence across the business. This role focuses on production-grade data systems for ingestion, transformation, and serving to enable marketing automation, inventory intelligence, and order fulfillment visibility.

You will implement batch and real-time pipelines on AWS, develop Medallion architecture, and mentor junior engineers while

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