Senior Data Platform Engineer - Remote & Scalable

DAT; Denver (CO); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote/hybrid flexibility

Parental leave

Wellness allowance

Career development paths

Stock purchase program

401(k) matching

Job summary

DAT is seeking a senior data platform engineer to lead the evolution of a scalable data platform. You will apply advanced patterns like event-driven architecture, CQRS, and data mesh while guiding standards for dbt, Airflow, Snowflake, Kafka, and ETL processes.

You will partner with senior leadership on strategic data projects, architect enterprise-scale infrastructure with strong security, monitoring, and CI/CD practices, and drive data modeling across Kimball, Inmon, or Data Vault approaches.

Qualifications

• 7+ years of relevant engineering experience with large-scale distributed systems.
• Strong data engineering background using dbt, Snowflake, Kafka and cloud services.
• Experience with Agile methods and full technology management lifecycle.

Responsibilities

• Lead design and evolution of a scalable data platform architecture.
• Apply architectural patterns including event-driven, CQRS, event sourcing, and Saga.
• Govern standards for dbt, Airflow, Snowflake, Kafka, and ETL processes.
• Partner with senior leadership on strategic data initiatives and IT alignment with business goals.
• Architect enterprise-scale data platforms with security, monitoring, and CI/CD practices.
• Model data using Kimball, Inmon, or Data Vault concepts and move toward Data Mesh.
• Solve complex business problems with data-driven insights and measurable impact.
• Enforce coding standards, reviews, source control, testing, and governance.

Skills

Data engineering

dbt

Snowflake

Kafka

Airflow

Terraform

Python

SQL

ETL

CI/CD

Education

Bachelor's degree in CS / CE or related

Tools

dbt

Snowflake

Kafka

Airflow

Terraform

Tableau

MySQL

Oracle

AWS

Job description

DAT is seeking a senior data platform engineer to lead the evolution of a scalable data platform. You will apply advanced patterns like event-driven architecture, CQRS, and data mesh while guiding standards for dbt, Airflow, Snowflake, Kafka, and ETL processes.

You will partner with senior leadership on strategic data projects, architect enterprise-scale infrastructure with strong security, monitoring, and CI/CD practices, and drive data modeling across Kimball, Inmon, or Data Vault approaches.