Data Architect Engineer

Gravity Hair Salon, LLC
Charlotte, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 150K

Job location

Charlotte, United States of America

Tech stack

Amazon Web Services (AWS)
Continuous Integration
Information Engineering
Cloudformation
Terraform
Serverless Computing

Job 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.

Requirements

  • 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

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