Senior Data Platform Architect — Real-Time Analytics (AWS)

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

Job summary

Alo Yoga seeks a Lead Data Engineer to design and scale a production-grade data platform on AWS, enabling real-time analytics and business insights across marketing, inventory, and order fulfillment. You’ll own end-to-end data pipelines from ingestion to governance and collaborate with cross-functional teams.

The role requires 6–8+ years in data engineering, strong dbt/SQL/Python skills, and experience with modern warehouses and BI tools.

Qualifications

• Architect and own end-to-end data platform on AWS
• Design event-driven architectures using Kinesis, Kafka or similar
• Build ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake)
• Enable analytics via Tableau and ThoughtSpot
• Act as technical leader and mentor across engineering teams

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 analytics via Tableau and ThoughtSpot.
• Partner with cross-functional teams across business domains.
• Act as technical leader and mentor across engineering teams.

Skills

Technical leadership

Mentoring teams

Cross-functional collaboration

Data architecture

Education

6-8+ years in data engineering or platform engineering

Tools

dbt

SQL

Python

Kinesis

Kafka

Redshift

BigQuery

Snowflake

Tableau

ThoughtSpot

Job description

Alo Yoga seeks a Lead Data Engineer to design and scale a production-grade data platform on AWS, enabling real-time analytics and business insights across marketing, inventory, and order fulfillment. You’ll own end-to-end data pipelines from ingestion to governance and collaborate with cross-functional teams.

The role requires 6–8+ years in data engineering, strong dbt/SQL/Python skills, and experience with modern warehouses and BI tools.