GCP Cloud Data Architect

TechDigital Group; Nashville (TN); On-site; USD 110,000 - 140,000; Full time

Job summary

TechDigital Group is looking for a GCP Cloud Data Architect to design and define target-state cloud data architecture aligned with enterprise standards in Nashville, Tennessee. The ideal candidate will have strong cloud data warehouse experience, focusing on scalable and high-performance data models.

Familiarity with modern data modeling techniques and experience in healthcare data domains is advantageous. Join us to drive innovation in cloud data architecture!

Qualifications

• Strong experience designing cloud-based data warehouses.
• Hands-on expertise with data modeling techniques.
• Experience with ETL/ELT architectures and data lineage.

Responsibilities

• Define target-state cloud data architecture aligned to enterprise standards.
• Design scalable data models.
• Ensure architectural alignment with cloud-native best practices.

Skills

Designing cloud-based data warehouses (GCP / Azure / AWS)

Modern data modeling techniques

ETL/ELT architectures

Experience with BI and reporting platforms

Job description

GCP Cloud Data Architect

Architecture & Design

Define the target‑state cloud data architecture aligned to enterprise standards, including staging, conformed, and reporting layers. Design scalable data models. Ensure architectural alignment with cloud‑native best practices for performance, cost optimization, data quality & governance and scalability.

Technical Expertise

• Strong experience designing cloud‑based data warehouses (GCP / Azure / AWS).
• Hands‑on expertise with modern data modeling techniques (dimensional, conformed, SCD, snapshot‑based reporting).
• Experience with ETL/ELT architectures, metadata management, and data lineage.
• Familiarity with enterprise BI and reporting platforms (e.g., Power BI, Looker, Tableau).

Healthcare & Domain Knowledge (Additional Advantage)

Experience working with healthcare data domains such as patient access, revenue cycle, eligibility, scheduling, or clinical operations. Understanding of healthcare data sensitivity, audit needs, and regulatory expectations.