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# Lead Data Engineer

- **Company:** Alo, LLC.
- **Location:** Beverly Hills, CA, United States
- **Experience:** Expert
- **Salary:** $180,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Python (Programming Language), Automation of Marketing, SQL Databases, Tableau (Software), Google Cloud, Real Time Systems, Delivery Pipeline, Snowflake, Data Layers, Event Driven Architecture, Apache Kafka, Data Pipelines, Amazon Redshift
- **Published:** November 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=73b30366fa02411c

## About the Role

* Platforms & Infrastructure

 * Cloud platforms (AWS, GCP, Azure)

 * Event-driven and streaming architectures

 * CI/CD and infrastructure-as-code

 * Data Engineering

 * dbt, SQL, Python

 * Batch and real-time pipelines

 * Medallion architecture

 * Analytics & Data Products

 * Tableau and ThoughtSpot

 * Semantic layers and KPI standardization

 * Experience

 * 6-8+ years in data engineering or platform engineering

 * Experience with large-scale data platforms

 * Retail/e-commerce experience preferred

## Description

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

 * 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