Senior Data Platform Engineer - Real-Time Analytics

ALO; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

ALO seeks a Senior Data Engineer in the United States to build and scale the foundational data platform powering analytics and real-time decisioning across marketing, inventory, and order fulfillment. You will ingest, process, and act on data, enabling automation and business visibility with Medallion architecture and modern warehouses.

The role requires hands-on experience with AWS, dbt, SQL, Python, and large-scale data systems, plus collaboration across teams and mentoring junior engineers.

Qualifications

• 3–5+ years in data engineering or platform engineering
• Experience building large-scale data platforms
• Retail/e-commerce experience preferred

Responsibilities

• Build and operate core components of the data platform, primarily on AWS
• Implement and scale event-driven pipelines using Kinesis, Kafka, or similar
• Develop and extend Medallion architecture (Bronze/Silver/Gold)
• Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery)
• Support real-time marketing use cases (segmentation, triggers, personalization)
• Build data models and pipelines for inventory intelligence and allocation optimization
• Build pipelines for order lifecycle and SLA insights
• Apply and help improve standards for data modeling, testing, CI/CD, and observability
• Partner with cross-functional teams across business domains
• Mentor junior engineers and contribute to code review and design discussions

Skills

AWS

GCP

Azure

Event-driven pipelines

CI/CD

Infrastructure-as-code

dbt

SQL

Python

Batch pipelines

Real-time pipelines

Medallion architecture

Experience with large-scale data

Tools

dbt

SQL

Python

Job description

ALO seeks a Senior Data Engineer in the United States to build and scale the foundational data platform powering analytics and real-time decisioning across marketing, inventory, and order fulfillment. You will ingest, process, and act on data, enabling automation and business visibility with Medallion architecture and modern warehouses.

The role requires hands-on experience with AWS, dbt, SQL, Python, and large-scale data systems, plus collaboration across teams and mentoring junior engineers.