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Principal Data & AI Solutions Architect
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InvestM Technology LLC
West Sacramento, CA (In Person)
Full-Time
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Job Description
Principal Data & AI Solutions Architect Position Summary We are seeking an experienced Principal Data & AI Solutions Architect to lead the design, development, and modernization of enterprise data platforms, business intelligence solutions, and AI-enabled analytics ecosystems. This role will be responsible for defining enterprise architecture strategies, designing scalable cloud-based data solutions, integrating Generative AI capabilities into business intelligence platforms, and ensuring secure, high-performing data architectures that support organizational decision-making. The ideal candidate will possess deep expertise in enterprise data warehousing, cloud architecture, advanced analytics, data integration, and AI-driven solutions while providing technical leadership across cross-functional teams. Key Responsibilities Enterprise Architecture & Data Strategy Define and maintain enterprise architecture standards, frameworks, and best practices for data warehouse, analytics, and AI platforms. Design scalable, secure, and high-performing enterprise data architectures supporting business intelligence and advanced analytics initiatives. Develop conceptual, logical, and physical data models aligned with organizational objectives. Lead architecture reviews and provide strategic recommendations for technology investments and modernization efforts. Generative AI & Advanced Analytics Design and implement architectures that integrate Generative AI capabilities into enterprise Business Intelligence (BI) and Data Warehouse platforms. Evaluate and recommend AI/ML technologies, frameworks, and governance practices. Collaborate with business stakeholders to identify AI-driven opportunities for data analysis, reporting, automation, and decision support. Establish architectural patterns for AI-enabled analytics and data-driven innovation. Cloud Architecture & Platform Engineering Architect and deploy enterprise data solutions on cloud platforms including AWS, Azure, or Google Cloud Platform (Google Cloud Platform). Design cloud-native data ecosystems utilizing Infrastructure as Code (IaC) tools such as Terraform. Ensure solutions meet scalability, availability, security, and performance requirements. Lead cloud migration and modernization initiatives for legacy data platforms. Integration & Data Engineering Design secure and scalable integration architectures utilizing APIs, microservices, event-driven frameworks, and data integration technologies. Establish enterprise integration standards to facilitate interoperability across systems and applications. Oversee data ingestion, transformation, and orchestration processes supporting enterprise analytics initiatives. Leadership & Governance Lead and mentor cross-functional teams consisting of architects, engineers, developers, and analysts. Provide technical leadership, architecture governance, and design oversight across multiple projects. Drive adoption of industry best practices, standards, and emerging technologies. Collaborate with executive leadership and stakeholders to align technical solutions with business goals. Documentation & Standards Develop and maintain architecture diagrams, technical designs, implementation plans, standards, and best-practice documentation. Present architecture recommendations, solution designs, and technical roadmaps to executive and technical audiences. Required Qualifications Minimum 10 years of IT experience with expert-level knowledge of: Enterprise Architecture Data Warehouse Design & Implementation Data Modeling Advanced Analytics Platforms Minimum 3 years of experience designing architectures that integrate Generative AI capabilities into Business Intelligence and Data Warehouse environments. Minimum 5 years of cloud architecture experience with one or more cloud platforms: AWS Microsoft Azure Google Cloud Platform (Google Cloud Platform) Minimum 5 years of experience using Infrastructure as Code (IaC) methodologies and tools such as Terraform . Minimum 5 years of experience leading technical teams in enterprise environments, providing mentorship and architectural guidance. Minimum 5 years of experience designing and implementing: API-driven architectures Microservices Event-driven systems Enterprise data integration solutions Preferred Qualifications 5+ years of hands-on development experience using: C# Python SQL 5+ years of experience working with relational databases and advanced SQL query development. 5+ years of experience creating enterprise-level technical documentation including: Architecture diagrams Technical specifications Design standards Best-practice frameworks 3+ years of experience with: Snowflake AWS Redshift 3+ years of experience developing dashboards and analytics solutions using Power BI . Desired Skills Enterprise Data Architecture Generative AI Integration Data Governance & Data Modeling Cloud Architecture (AWS, Azure, Google Cloud Platform) Terraform & Infrastructure as Code Data Warehousing & Analytics Snowflake / Redshift Power BI API & Microservices Architecture Event-Driven Architecture SQL & Database Optimization Technical Leadership & Mentorship Solution Design & Enterprise Integration