Lead Data Platform Engineer — Real-Time Analytics

ALO; United States; On-site; USD 180,000 - 220,000; Full time

Job summary

ALO is seeking a Lead Data Engineer to architect and evolve our foundational data platform powering analytics, real-time decisioning, and operational intelligence across the company.

The ideal candidate will design production-grade data systems end to end—from ingestion to modeling, serving, and governance—ensuring scalability, reliability, and reusability while partnering with cross-functional teams to enable marketing, inventory, and order insights.

Qualifications

• Experience building data platforms and pipelines at scale.
• Strong grasp of batch and real-time data processing concepts.
• Ability to mentor teams and drive best practices across engineering.

Responsibilities

• Architect and own end-to-end data platform primarily on AWS.
• Design and scale event-driven architectures (Kinesis, Kafka).
• Lead Medallion architecture (Bronze/Silver/Gold) implementation.
• Develop ELT pipelines with dbt and modern warehouses (Redshift/BigQuery/Snowflake).
• Enable real-time marketing use cases and inventory analytics.
• Set standards for data modeling, testing, CI/CD, and observability.
• Collaborate with cross-functional teams and mentor engineers.

Skills

Data engineering

Event-driven architectures

Analytics

Mentoring

Tools

dbt

SQL

Python

AWS

Redshift

BigQuery

Snowflake

Tableau

ThoughtSpot

Kinesis

Kafka

Job description

ALO is seeking a Lead Data Engineer to architect and evolve our foundational data platform powering analytics, real-time decisioning, and operational intelligence across the company.

The ideal candidate will design production-grade data systems end to end—from ingestion to modeling, serving, and governance—ensuring scalability, reliability, and reusability while partnering with cross-functional teams to enable marketing, inventory, and order insights.