What are the responsibilities and job description for the Solution Architect (Data Architect AI) position at Diligent Tec, Inc?
Job Title: Solution Architect ( Data Architect AI)
Location: Santa Ana, CA - Hybrid 4 Days onsite
Duration: Long Term Contract
The Solution Architect will lead onsite engagement for a data and analytics transformation program, working closely with business and technology stakeholders to translate requirements into scalable BI and data solutions. This role includes guiding data foundation build-out, enabling advanced analytics and insights, and ensuring smooth communication with the offshore delivery team.
Key Responsibilities
Engage with business teams to define reporting, analytics, and Conversational BI requirements
Assess current data and BI landscape and define target-state architecture
Oversee creation of data pipelines, semantic layers, and reporting assets
Guide adoption of advanced analytics using statistical/ML/LLM techniques where applicable
Ensure robust governance, DevOps readiness, and IaC-based deployment
Act as the primary onsite liaison for requirement clarity, knowledge sharing, and stakeholder communication
Required Skills & Qualifications
Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
Deep understanding of data modeling for analytics (dimensional & 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 (preferably Looker or equivalent enterprise-grade platforms)
Awareness of AI/ML techniques for insight automation, anomaly/outlier detection
Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning
Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus)
Excellent stakeholder management, business communication, and requirement discovery skills
Ability to operate in an onsite-offshore model, driving clarity and collaboration
Preferred Skills
Knowledge of LLM/Conversational BI enablement
Experience working with financial analytics or operational data environments
Location: Santa Ana, CA - Hybrid 4 Days onsite
Duration: Long Term Contract
The Solution Architect will lead onsite engagement for a data and analytics transformation program, working closely with business and technology stakeholders to translate requirements into scalable BI and data solutions. This role includes guiding data foundation build-out, enabling advanced analytics and insights, and ensuring smooth communication with the offshore delivery team.
Key Responsibilities
Engage with business teams to define reporting, analytics, and Conversational BI requirements
Assess current data and BI landscape and define target-state architecture
Oversee creation of data pipelines, semantic layers, and reporting assets
Guide adoption of advanced analytics using statistical/ML/LLM techniques where applicable
Ensure robust governance, DevOps readiness, and IaC-based deployment
Act as the primary onsite liaison for requirement clarity, knowledge sharing, and stakeholder communication
Required Skills & Qualifications
Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery
Deep understanding of data modeling for analytics (dimensional & 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 (preferably Looker or equivalent enterprise-grade platforms)
Awareness of AI/ML techniques for insight automation, anomaly/outlier detection
Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning
Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus)
Excellent stakeholder management, business communication, and requirement discovery skills
Ability to operate in an onsite-offshore model, driving clarity and collaboration
Preferred Skills
Knowledge of LLM/Conversational BI enablement
Experience working with financial analytics or operational data environments
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