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GCP Data Architect

Job in Davidson, Mecklenburg County, North Carolina, 28036, USA
Listing for: Envision Technology Solutions
Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Science Manager, Data Analyst
Job Description & How to Apply Below

Recruitment Specialist at Envision Technology Solutions

Position: GCP Data Architect

Location: Davidson, NC (Onsite)

Duration: Contract

Job Description: Experienced Data Platform Architect to design and manage enterprise‑grade data solutions. This role will focus on building and optimizing data platforms leveraging Google Cloud Platform (GCP), Databricks, Looker, and Dataform, ensuring scalability, security, and performance across all data‑driven applications.

Key Responsibilities Data Architecture Strategy
  • Design and implement modern data platform architecture for enterprise applications
  • Ensure seamless integration of Dataform, Looker, Databricks, and GCP services
  • Architect solutions using Google Cloud Platform components:
    Big Query, Dataflow, Cloud Storage, Pub/Sub
  • Optimize data pipelines for performance and cost efficiency
Analytics / BI
  • Develop semantic models and dashboards in Looker
  • Enable self‑service analytics and governance
  • Build and maintain data workflows using Dataform and Databricks
  • Implement best practices for data ingestion, transformation, and orchestration
Dev Ops for Data
  • Establish CI/CD pipelines for data workflows
  • Automate deployments and monitoring for data services
Governance & Security
  • Define and enforce data governance, security, and compliance standards
Required Skills & Experience
  • Cloud Expertise:
    Strong experience with GCP Data Platform
  • Data Engineering Tools:
    Proficiency in Databricks, Dataform, and SQL‑based transformations
  • BI Tools:
    Advanced knowledge of Looker
  • Programming:
    Python, SQL, Spark
  • Dev Ops:
    Familiarity with CI/CD tools and Infrastructure as Code (Terraform)
  • Architecture:
    Ability to design end‑to‑end data solutions for large‑scale enterprise environments
Preferred Qualifications
  • Google Professional Data Engineer or Cloud Architect certification
  • Experience with modern data governance frameworks
  • Exposure to AI/ML and advanced analytics
Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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