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Data Architect III (Remote)
- Location: Richmond, Virginia 23219
- Work model: On-site
- Posted 6 weeks ago
- Job ID: JPC - 208768
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Job Description
Data Architect III (Remote) - Data Engineer (AWS): Operational Support & Enhancement
About the Role
Join a dynamic team as a Data Architect III, focused on hands-on engineering to support and enhance an established AWS-based enterprise data platform. Work remotely with a collaborative team of experienced data engineers, delivering reliable HR, Finance, and Procurement data to business users across the organization. This position is ideal for data engineers who thrive in operational support, troubleshooting, and continuous improvement of data pipelines and products.
Responsibilities
- Provide end-to-end operational support for AWS-based data pipelines and products (S3, AWS Glue, Starburst)
- Monitor pipeline performance, respond to incidents, and execute root cause analysis for data issues
- Troubleshoot across data, Python code, and SQL queries to resolve ingestion, transformation, and publication failures
- Recommend, design, and implement robust data quality checks and validation logic
- Enhance and optimize existing AWS Glue jobs and S3 data flows for performance and maintainability
- Support business data consumption via Tableau, APIs, and direct SQL interfaces
- Collaborate with HR, Finance, and Procurement stakeholders to resolve data discrepancies and understand reporting requirements
- Maintain clear documentation for pipelines, transformations, troubleshooting, and operational procedures
- Contribute to infrastructure improvements, including Terraform-based enhancements where applicable
- Adhere to engineering best practices, participate in code reviews, and collaborate using Git and GitLab
- Work within an Agile team environment, balancing operational support with ongoing enhancements
Required Skills and Experience
- 5+ years hands-on data engineering experience
- 5+ years working with AWS data tools (S3, AWS Glue)
- Advanced SQL expertise (read, debug, optimize complex queries)
- Strong Python programming for data processing and automation
- Experience with PostgreSQL or similar relational databases
- Proven data troubleshooting skills (data, Python code, SQL queries)
- ETL/ELT pipeline development and support for structured data
- Data quality validation and implementation
- Git and GitLab version control and collaboration
- Bachelor's degree in a related field or equivalent practical experience
Preferred Skills
- Familiarity with Starburst or similar federated SQL engines
- Experience with Workday or Ariba data structures
- Exposure to Tableau or comparable BI/reporting tools
- Experience with Terraform for infrastructure enhancements
- IT-related certifications
Benefits
- Long-term project with potential for full-time conversion
- 100% remote work for optimal flexibility
- Opportunity to work with advanced AWS technologies and enterprise-scale data
- Collaborative, supportive team environment
- Exposure to cross-functional business domains (HR, Finance, Procurement)
- Competitive compensation
How to Apply
If you are a proactive Data Engineer passionate about data pipeline reliability and operational excellence, apply now to join our remote team. Qualified candidates will be contacted regarding next steps.
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Job details
Job ID JPC - 208768
Location Richmond, Virginia, United States
Work Model On-site
Job Type Referral Fee
Posted September 1, 2026
Skills Qualifications:• Minimum 5 years of hands-on data engineering experience• Minimum 5 years working with AWS data tooling specifically S3 and AWS Glue• Advanced SQL skills including the ability to read debug and optimize complex queries• Strong Python development experience for data processing Transformation and automation• Experience working with PostgreSQL or comparable relational databases• Demonstrated ability to troubleshoot data issues and determine whether the root cause resides in the data the Python code or the SQL queries• Experience building and supporting ETL/ELT pipelines for structured data sources• Experience recommending and implementing data quality checks and validation logic• Experience with Git and GitLab for version control and code coll
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