Data Architect Engineer
Gravity Hair Salon, LLC
Charlotte, NC, United States
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$125,000.0 - $150,000.0
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
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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