Lead Data Engineer

Alo, LLC.
Beverly Hills, CA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$180,000 - $220,000
Working hours
Regular working hours
Job source

Tech stack

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
+10 more
Tableau (Software) Google Cloud Real Time Systems Delivery Pipeline Snowflake Data Layers Event Driven Architecture Apache Kafka Data Pipelines Amazon Redshift

Job 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

Requirements

  • 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

Benefits & conditions

The base salary range for this position is $180,000-$220,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

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