

RIIM
Solution Architect - AI
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Solution Architect - AI, offering a hybrid work location. Contract length and pay rate are unspecified. Key skills include enterprise data warehousing, BI architecture, ETL/ELT expertise, and proficiency in GCP.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
August 4, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Santa Ana, CA
-
π§ - Skills detailed
#GCP (Google Cloud Platform) #Looker #Data Modeling #Metadata #AI (Artificial Intelligence) #IAM (Identity and Access Management) #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Management #BigQuery #Security #ML (Machine Learning) #Cloud #Data Governance #DevOps #Automation
Role description
Required Skills & Qualifications
β’ Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
β’ Deep understanding of data modeling for analytics (dimensional & semantic layer design)
β’ Hands-on expertise with ETL/ELT patterns and orchestration
β’ Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
β’ Experience with BI tools (preferably Looker or equivalent enterprise-grade platforms)
β’ Awareness of AI/ML techniques for insight automation, anomaly/outlier detection
β’ Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning
β’ Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus)
β’ Excellent stakeholder management, business communication, and requirement discovery skills
Ability to operate in an onsiteβoffshore model, driving clarity and collaboration
Required Skills & Qualifications
β’ Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
β’ Deep understanding of data modeling for analytics (dimensional & semantic layer design)
β’ Hands-on expertise with ETL/ELT patterns and orchestration
β’ Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
β’ Experience with BI tools (preferably Looker or equivalent enterprise-grade platforms)
β’ Awareness of AI/ML techniques for insight automation, anomaly/outlier detection
β’ Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning
β’ Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus)
β’ Excellent stakeholder management, business communication, and requirement discovery skills
Ability to operate in an onsiteβoffshore model, driving clarity and collaboration






