AI Solution Architect (Cloud Solutions)

Diligent Tec, Inc; Santa Ana (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading technology company seeks an AI Solution Architect specializing in Cloud Solutions to engage with business teams, assess data landscapes, and oversee development efforts. Key responsibilities include defining reporting and analytics requirements, guiding advanced analytics adoption, and ensuring strong data governance. The ideal candidate has robust experience in enterprise data warehousing, BI architecture, and a solid understanding of cloud-based analytics platforms such as GCP and AWS, with a focus on stakeholder management and effective communication.

Qualifications

• Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery.
• Deep understanding of data modeling for analytics (dimensional and semantic layer design).
• Hands-on expertise with ETL/ELT patterns and orchestration.

Responsibilities

• Engage with business teams to define reporting, analytics, and Conversational BI requirements.
• Assess the current data and BI landscape and define target-state architecture.
• Oversee development of data pipelines, semantic layers, and reporting assets.

Skills

Enterprise data warehousing

BI architecture

Large-scale analytics delivery

Data modeling for analytics

ETL/ELT patterns

Data governance

BI tools

AI/ML techniques

DevOps concepts

Cloud-based analytics platforms

Tools

BigQuery

AWS

Looker

Job description

AI Solution Architect (Cloud Solutions)

Location: Onsite - Santa Ana, CA

Duration: Long Term Contract (3 Years)

Key Responsibilities

• Engage with business teams to define reporting, analytics, and Conversational BI requirements
• Assess the current data and BI landscape and define target-state architecture
• Oversee development of data pipelines, semantic layers, and reporting assets
• Guide adoption of advanced analytics using statistical, ML, and LLM techniques where applicable
• Ensure strong data governance, DevOps readiness, and IaC-based deployments
• Act as the primary onsite point of contact for requirement clarity, stakeholder communication, and knowledge sharing

Required Skills & Qualifications

• Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
• Deep understanding of data modeling for analytics (dimensional and semantic layer design)
• Hands‑on expertise with ETL/ELT patterns and orchestration
• Strong knowledge of data governance, metadata management, security models, and IAM for data platforms
• Experience with BI tools (Looker preferred or equivalent enterprise BI platforms)
• Awareness of AI/ML techniques for insight automation and anomaly/outlier detection
• Solid understanding of DevOps concepts for data platforms (CI/CD, version control, code‑based delivery)
• Strong experience with cloud‑based analytics platforms, GCP highly preferred, with BigQuery exposure and AWS experience
• Excellent stakeholder management, communication, and requirement discovery skills
• Ability to work effectively in an onsite‑offshore delivery model

Preferred Skills

• Experience with LLMs and Conversational BI enablement
• Background working with financial analytics or operational data environments