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# Data Architect Engineer

- **Company:** Gravity Hair Salon, LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Continuous Integration, Information Engineering, Cloudformation, Terraform, Serverless Computing
- **Published:** July 16, 2026
- **Apply:** https://www.gravityitresources.com/job/9428

## About the Role

* 5+ years in Data Architecture, Data Engineering, or related fields.
 * 3+ years of Python development experience.
 * 3+ years building ETL and data pipeline solutions.
 * Hands-on AWS experience including Lambda, Glue, S3, Athena, DynamoDB, and PostgreSQL.
 * Strong SQL and data modeling experience.
 * Serverless architecture experience.
 * API integration experience.
 * Experience working in Agile environments.
 * Strong communication and analytical skills.

Preferred Experience

 * Snowflake experience.
 * Experience with dbt and/or Databricks.
 * Machine learning or AI analytics exposure.
 * Terraform or CloudFormation experience.
 * CI/CD for data engineering workflows.
 * AWS Certifications.

Logistics

 * Work Location: Charlotte, NC preferred. If remote, would need to come onsite once per month for 2 days once converted to full time.
 * Contract opportunity with potential to convert to FTE.

Mid-level hands-on role balancing architecture and engineering responsibilities

## Description

We are supporting a growing organization in the food services industry that is expanding and modernizing its cloud-based data ecosystem. This role is ideal for a hands-on Data Architect who enjoys both strategic architecture and technical implementation and will partner closely with developers, data engineers, analysts, and business stakeholders.
Technical Environment

 * AWS including S3, Lambda, Glue, Athena, DynamoDB, and PostgreSQL
 * Snowflake
 * Python development environment
 * Angular / TypeScript application stack
 * Serverless AWS architecture
 * API-driven integrations, * Define, design, build, test, and implement scalable data pipelines.
 * Architect AWS-native data solutions including data lakes and reporting platforms.
 * Develop data models supporting analytics and reporting.
 * Design and develop API integrations.
 * Develop and maintain AWS Lambda functions and Glue jobs using Python.
 * Troubleshoot data issues and optimize performance.
 * Ensure security, governance, privacy, and compliance.
 * Maintain architecture documentation.
 * Mentor team members and promote best practices.


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