Data Architect

Riverstone Logistics (RLX) is committed to being an honest, reliable, dependable freight forwarding partner. Every day we are focused on fulfilling our Purpose of using our God-given talents and opportunities to love our neighbors, serve our communities, and improve our industry.

RLX provides final mile deliveries through dedicated and network models for various clients across the United States. We love working with new clients that are looking to enhance their customer experience through final mile deliveries.

Headquartered in Charlotte, North Carolina, RLX currently has over 700 employees and is always looking for new employees that demonstrate leadership capabilities and exceptional communication skills to grow with us at our home office as well as client sites across the United States.

The Data Architect leads the strategy, design, and implementation of RLX’s enterprise data architecture with a focus on a practical, modern Canonical Data Model (CDM). This role defines the data standards, shared business vocabulary, and data contracts that enable consistent, governed, and interoperable data across our platforms and lines of business (e.g., TMS, OMS, WMS, ERP, EDI). The architect partners closely with Data Engineering, Cybersecurity, Application teams, and business stakeholders to deliver a secure, high-quality, and cost-aware data foundation that supports analytics, operations, and AI/ML use cases.

* This position requires the ability to work onsite in our Corporate office in Charlotte, NC five (5) days per week.

• Define and maintain the enterprise Canonical Data Model strategy and roadmap: design a federated, domain-aligned CDM with a thin, shared backbone (core IDs, parties, products, locations, time) and data product–level contracts for interoperability.
• Model data for both batch and streaming (event-first) paradigms;
  Establish RLX’s data platform methodology and define patterns (Dimensional/Kimball, Data Vault) as appropriate.
• Establish data contracts, as required, and mentor developers to align APIs (OpenAPI) and events (Async
  
  API/Avro/Protobuf) with the CDM; implement versioning, schema registries, and contract-testing in CI/CD.
• Lead architecture for the cloud data lake/lakehouse (e.g., Snowflake or Databricks) including medallion layering, ingestion (batch/CDC/streaming), transformation (dbt), and serving (BI/semantic layer).
• Define and operationalize data quality SLAs/SLOs (freshness, completeness, uniqueness, validity, timeliness); deploy monitoring and alerting with automated data tests in pipelines.
• Implement end-to-end lineage and metadata management; standardize technical, business, and operational metadata capture and stewardship processes.
• Partner with Cybersecurity to design privacy-by-default data controls: classification, masking, tokenization, row/column-level security, key management, and retention policies; ensure compliance with contractual and regulatory obligations.
• Drive master and reference data strategies (party, location, product, asset/vehicle) and reconciliation back to ERP/source-of-truth systems.
• Provide strategic thought and architectural guidance for new data initiatives; review designs for scalability, reliability, observability, and cost efficiency (Fin Ops) and ensure alignment to standards.
• Mentor data engineers and analytics developers on modeling conventions, naming standards, and architectural patterns; promote code review, testing, and documentation practices.
• Enable AI/ML readiness: articulate feature/label data needs, data curation and lineage requirements, model observability inputs, and secure access patterns for ML and LLM/RAG scenarios.
• Champion platform reliability: backup/restore, disaster recovery, access management (RBAC/ABAC), secrets management, and environment promotion standards.

• Bachelor’s degree in Computer Science, Data/Information Systems, or related field required
• Master’s degree preferred or equivalent experience.

• 8+ years in data architecture and/or data engineering with demonstrated ownership of enterprise…