Lead Data Platform Engineer — Real-Time Analytics

Alo Yoga; Beverly Hills (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

Alo Yoga seeks a Lead Data Engineer to architect, build, and evolve a scalable data platform powering analytics, real-time decisioning, and operational intelligence across the company.

You will define the backbone for data ingestion, processing, and governance across batch and real-time systems, enabling marketing automation, inventory visibility, and order lifecycle insights. A deeply experienced builder is needed to mentor teams and deliver production-grade systems.

Qualifications

• Architect and own end-to-end data platform on AWS.
• Design event-driven architectures using Kinesis or Kafka.
• Build and evolve Medallion architecture (Bronze/Silver/Gold).
• Develop ELT pipelines with dbt and 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; mentor engineers.

Responsibilities

• Architect and own the end-to-end data platform on AWS.
• Lead design of event-driven architectures with Kinesis/Kafka.
• Develop Medallion architecture and scalable ELT pipelines.
• Collaborate with analytics teams to deliver data products and dashboards.

Skills

SQL

Python

dbt

ETL pipelines

Education

B.S. in Computer Science

Tools

AWS

BigQuery

Redshift

Kafka

Kinesis

CI/CD

Job description

Alo Yoga seeks a Lead Data Engineer to architect, build, and evolve a scalable data platform powering analytics, real-time decisioning, and operational intelligence across the company.

You will define the backbone for data ingestion, processing, and governance across batch and real-time systems, enabling marketing automation, inventory visibility, and order lifecycle insights. A deeply experienced builder is needed to mentor teams and deliver production-grade systems.