Cloud Data Platform Engineer for AI & Automation

Careernowbrands

Royal Oak (MI)

Hybrid

USD 120,000 - 160,000

Full time

9 days ago

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Job summary

Career Now Brands is seeking a Data Platform Engineer to build and evolve a cloud data platform powering analytics, automation, and AI initiatives. You’ll design ELT/ETL pipelines, model data in Snowflake, and drive CI/CD with Terraform and serverless components.

Collaborate with engineering teams to expose data through services, improve observability and data quality, and prepare trusted datasets for analytics and AI use cases. Hybrid/remote, ETZ hours in Royal Oak.

Qualifications

  • 3+ years of experience in Data/Platform Engineering or related roles.
  • Strong Python and SQL skills.
  • Experience with Snowflake or other cloud data warehouses.
  • Experience with Git and CI/CD pipelines.
  • Hands-on with dbt, Airflow, AWS Lambda, Terraform, or similar.

Responsibilities

  • Design and maintain scalable ELT/ETL pipelines from APIs, SaaS, databases, and streams.
  • Build data models and data products in Snowflake for performance and cost.
  • Develop AWS Lambda functions and event-driven workflows.
  • Create lightweight internal apps and automation tools.
  • Collaborate to expose data via services and applications.
  • Implement CI/CD and manage IaC with Terraform or similar.
  • Improve observability, monitoring, and automation.
  • Ensure data quality and platform reliability.
  • Prepare trusted datasets for analytics and AI use cases.
  • Support internal AI and automation initiatives.

Skills

Python
SQL
CI/CD

Tools

Snowflake
dbt
Airflow
Terraform
AWS Lambda
Git

Job description

Career Now Brands is seeking a Data Platform Engineer to build and evolve a cloud data platform powering analytics, automation, and AI initiatives. You’ll design ELT/ETL pipelines, model data in Snowflake, and drive CI/CD with Terraform and serverless components.

Collaborate with engineering teams to expose data through services, improve observability and data quality, and prepare trusted datasets for analytics and AI use cases. Hybrid/remote, ETZ hours in Royal Oak.

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