Cloud Solution Architect – Data & AI

Frederick Fox; San Diego (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Frederick Fox in San Diego seeks an experienced Cloud Solutions Architect — Data & AI to design, implement, and optimize cloud-native data platforms and AI solutions. You will build scalable data architectures, develop AI-powered applications, and govern secure data environments for analytics and business intelligence.

This role combines data engineering, cloud architecture, and enterprise AI, with governance and security at the core.

Qualifications

• Bachelor’s degree or higher in a technical field.
• 3–6 years in data engineering or cloud analytics roles.
• Experience designing production-grade cloud-native data platforms.
• Strong data architecture, modeling, ETL/ELT knowledge.
• Hands-on with LLMs, RAG, vector search, or enterprise AI platforms.
• REST API integrations and workflow automation.
• Proficient in SQL and relational/analytical data models.
• Python proficiency for data engineering and automation.
• Version control with Git.
• Excellent analytical and communication skills.

Responsibilities

• Design, implement, and maintain cloud-native data platforms (lakehouse/data lakes).
• Develop scalable data ingestion pipelines integrating multiple enterprise systems.
• Create governed data models, semantic layers, and datasets for BI and analytics.
• Implement data validation, rules, monitoring, and quality processes.
• Establish data governance, metadata, lineage and documentation.
• Optimize cloud data infrastructure for scalability and performance.
• Design, develop, and deploy AI-powered applications and AI services.
• Build integrations and automation for APIs and workflows.

Skills

Cloud architecture

Data engineering

SQL

Python

Git

Effective communication

Analytical thinking

Independent work

Stakeholder collaboration

LLMs / AI platforms

Education

Bachelor’s degree in Computer Science / related field

Tools

REST API integrations

Job description

Cloud Solutions Architect — Data & AI

Job Summary

We are seeking an experienced Cloud Solutions Architect — Data & AI to design, implement, and optimize modern cloud-native data platforms and AI solutions. This role is responsible for building scalable data architectures, developing AI-powered applications, and establishing secure, governed data environments that enable analytics, automation, and business intelligence. The ideal candidate combines expertise in data engineering, cloud architecture, and enterprise AI technologies with a strong understanding of governance, security, and modern data platform design.

Key Responsibilities

Data Platform Architecture

• Design, implement, and maintain cloud-native data platforms using modern data lake and lakehouse architectures.
• Develop scalable data ingestion pipelines that integrate structured and unstructured data from multiple enterprise systems.
• Design and maintain data models, semantic layers, and governed datasets that support business intelligence and analytics.
• Implement data validation, business rules, monitoring, and data quality processes throughout the ingestion lifecycle.
• Establish and maintain data governance standards, metadata management, lineage, and documentation.
• Optimize cloud-based data infrastructure for scalability, reliability, and performance.

AI Solutions & Automation

• Design, develop, and deploy AI-powered applications, intelligent agents, and natural language interfaces using enterprise AI platforms.
• Build Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, and large language models (LLMs).
• Develop API integrations and custom connectors to securely access enterprise data sources.
• Automate business processes, reporting, notifications, and workflows using modern automation platforms and scripting languages.
• Evaluate emerging AI technologies and identify opportunities to improve business operations and user productivity.
• Train business users on AI tools, natural language interfaces, and self-service capabilities.

Security & Governance

• Implement role-based access controls and security policies across data and AI platforms.
• Ensure AI applications enforce data security, user authorization, and governance standards.
• Maintain audit trails, version history, and compliance with organizational data privacy requirements.
• Collaborate with IT and security teams to ensure all integrations, pipelines, and AI services align with enterprise governance frameworks.

Business Intelligence & Collaboration

• Partner with analytics and business intelligence teams to define data requirements and optimize reporting solutions.
• Support semantic models, dashboards, and analytical datasets consumed by reporting platforms.
• Troubleshoot data quality issues and improve upstream data reliability.
• Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
• Document architectures, integrations, workflows, and operational procedures to ensure long-term maintainability.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or a related technical field.
• 3–6 years of experience in data engineering, cloud architecture, analytics engineering, business intelligence, or related disciplines.
• Experience designing and deploying production-grade cloud-native data platforms.
• Strong understanding of data architecture, data modeling, ETL/ELT processes, and modern analytics ecosystems.
• Hands-on experience building AI-powered applications utilizing large language models (LLMs), Retrieval-Augmented Generation (RAG), vector search, or enterprise AI platforms.
• Experience developing REST API integrations and workflow automation solutions.
• Strong SQL skills with experience designing relational and analytical data models.
• Proficiency in Python for data engineering, automation, and API integration.
• Experience with version control systems such as Git.
• Excellent analytical, communication, and problem-solving skills.
• Ability to work independently while collaborating effectively with cross-functional stakeholders.

Preferred Qualifications

• Experience with Microsoft Fabric, OneLake, Azure Data Lake, Databricks, or comparable cloud data platforms.
• Experience with Azure OpenAI Service, Azure AI Search, Microsoft Copilot, Copilot Studio, or similar enterprise AI technologies.
• Strong knowledge of Power BI, DAX, Power Query, semantic models, and dashboard development.
• Experience building workflow automation using Microsoft Power Automate or comparable automation platforms.
• Familiarity with enterprise content management platforms, metadata extraction, and document intelligence solutions.
• Knowledge of enterprise identity management, role-based access control, and cloud security best practices.
• Experience implementing data governance, metadata management, data lineage, and stewardship frameworks.
• Industry experience in commercial real estate, finance, or other data-intensive industries is a plus.
• Relevant cloud or data platform certifications are preferred.

Key Competencies

• Strong systems thinking with the ability to architect scalable, secure, and maintainable data platforms.
• Builder mindset with the ability to move rapidly from concept to production-ready solutions.
• Security-first approach to designing AI and data architectures.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Strong documentation practices that ensure solutions are maintainable and transferable.
• Collaborative mindset with the ability to work effectively across engineering, analytics, IT, and business teams.
• Passion for emerging cloud and AI technologies with a commitment to continuous learning and innovation.