Senior Data Platform Engineer (Remote)

Horizon3; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Horizon3 is seeking a Senior Data Infrastructure Engineer to design, build, and own a globally deployed data platform powering provisioning, product analytics, and reporting. You’ll shape the warehouse, orchestration, and BI stack across regions, ensuring scalable, observable data pipelines and strong contracts between teams.

You will contribute to a scalable data platform with AWS Glue, Spark, and Databricks, collaborating across product and engineering teams while maintaining production-grade

Qualifications

• Strong software engineering craft and problem solving.
• Deep understanding of distributed systems and data architecture.
• Fluent SQL and data modeling for warehouse schemas.
• Experience owning production data infrastructure end to end.
• 7+ years of professional experience in data/infra/backend roles.

Responsibilities

• Design, build, and maintain data pipelines with ingestion and ETL.
• Operate the data warehouse, orchestration, and BI/reporting platform across regions.
• Evaluate and shape warehouse strategy including lakehouse platforms like Databricks.
• Define and evolve event-driven contracts between producer and consumer teams.
• Design and evolve warehouse schemas and data models.
• Build observability into pipelines and platform components.
• Drive work across producer and consumer teams and own outcomes end to end.

Skills

Software engineering

Distributed systems

SQL & data modeling

Production data infra

Cross-team collaboration

Education

Bachelor’s degree in Computer Science

Tools

AWS Glue

Databricks

Job description

Horizon3 is seeking a Senior Data Infrastructure Engineer to design, build, and own a globally deployed data platform powering provisioning, product analytics, and reporting. You’ll shape the warehouse, orchestration, and BI stack across regions, ensuring scalable, observable data pipelines and strong contracts between teams.

You will contribute to a scalable data platform with AWS Glue, Spark, and Databricks, collaborating across product and engineering teams while maintaining production-grade