Senior Data Platform Engineer (Hybrid)

DAT Freight Solutions

Denver (CO)

Hybrid

USD 134,000 - 175,000

Full time

6 days ago
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Benefits offered by this job

Hybrid work environment
401k matching
Health, Dental, Vision
Paid time off
Employee Stock Purchase Plan

Job summary

DAT Freight & Analytics is seeking an accomplished data platform leader to design and evolve a scalable data platform architecture. You will guide pattern implementations, governance, and collaboration with senior IT leaders to drive strategic data initiatives across the organization.

Bring 7+ years of distributed systems engineering and a strong background in data engineering, with hands-on experience in dbt, Snowflake, Kafka, and cloud services.

Qualifications

  • 7+ years of relevant professional engineering experience, with a proven track record of building and operating large‑scale distributed systems.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.

Responsibilities

  • Lead the design and evolution of our modern data platform architecture.
  • Apply in-depth knowledge of advanced architectural patterns to solve complex data challenges.
  • Develop, document, and communicate standard methods and processes within our stack (dbt, Airflow, Snowflake, Kafka, ETL).
  • Partner with senior leadership on strategic data projects and collaborate with IT leaders.

Skills

Data engineering
Distributed systems
Engineering leadership
Communication

Education

Bachelor's degree in Computer Science/Computer Engineering

Tools

dbt
Snowflake
Kafka
AWS S3
EMR
Glue
Terraform
Airflow
Tableau
MySQL
Oracle

Job description

DAT Freight & Analytics is seeking an accomplished data platform leader to design and evolve a scalable data platform architecture. You will guide pattern implementations, governance, and collaboration with senior IT leaders to drive strategic data initiatives across the organization.

Bring 7+ years of distributed systems engineering and a strong background in data engineering, with hands-on experience in dbt, Snowflake, Kafka, and cloud services.

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