7235 - Senior Solution Architecture Lead (AI & Data Platforms) (Candidate Must Reside in Sacramento to be Considered)

West Sacramento, CA, US • Posted 3 days ago • Updated 7 hours ago
Contract Independent
Contract W2
24 Months
No Travel Required
On-site
50++
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • Issue Resolution
  • Good Clinical Practice
  • Google Cloud
  • Google Cloud Platform
  • Extract
  • Transform
  • Load
  • Generative Artificial Intelligence (AI)
  • Documentation
  • Enterprise Architecture
  • Data Warehouse Architecture
  • Database Design
  • Data Governance
  • Data Modeling
  • Data Warehouse
  • Communication
  • Continuous Improvement
  • Dashboard
  • Cloud Architecture
  • Collaboration
  • Design Patterns
  • Authorization
  • Business Intelligence
  • Cloud Computing
  • Amazon Web Services
  • Artificial Intelligence
  • Leadership
  • Information Security Governance
  • Large Language Models (LLMs)
  • C#
  • Enterprise Integration
  • IT Management
  • .NET
  • Advanced Analytics
  • Presentations
  • Prompt Engineering
  • Mentorship
  • Microsoft Azure
  • Microsoft Power BI
  • Amazon Redshift
  • Analytics
  • Machine Learning (ML)
  • Regulatory Compliance
  • Reporting
  • Roadmaps
  • Scalability
  • Snow Flake Schema
  • Solution Architecture

Summary

7235 - Senior Solution Architecture Lead (AI & Data Platforms) (Candidate Must Reside in Sacramento to be Considered)

 

Location: West Sacramento, CA
Duration: 24+ Month Contract
Work Authorization: Must be authorized to work in the United States
Employment Type: W-2 Preferred
Interview Process: In-Person Interview Required
Work Schedule: Onsite, Monday-Friday

Staff Tech is seeking an experienced Senior Solution Architecture Lead to support enterprise technology initiatives involving Artificial Intelligence (AI), Cloud Platforms, Advanced Analytics, Data Warehousing, and Enterprise Integration Architecture.

This role will serve as the lead architect responsible for designing, validating, and implementing secure, scalable, and high-performing technology solutions across multiple enterprise programs. The selected consultant will work closely with executive leadership, business stakeholders, architects, engineers, and development teams to drive modernization initiatives and ensure alignment with enterprise architecture standards.

 

Required Qualifications

  • 10+ years of experience in enterprise architecture, data modeling, data warehousing, and advanced analytics platforms.
  • 3+ years of experience designing architecture that integrates Generative AI capabilities into Business Intelligence and Data Warehouse environments.
  • 5+ years of cloud architecture experience using Azure, AWS, and/or Google Cloud Platform (Google Cloud Platform).
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.
  • 5+ years leading cross-functional technical teams in large enterprise environments.
  • 5+ years designing and implementing enterprise integration architectures including:
    • APIs
    • Microservices
    • Event-driven architectures
    • Data integration platforms
  • Strong understanding of enterprise security, governance, scalability, and performance best practices.

 

Desired Qualifications

  • 5+ years of hands-on development experience with:
    • C#
    • Python
    • SQL
    • Advanced database design and query optimization
  • Experience creating enterprise architecture documentation, standards, design patterns, and technical roadmaps.
  • Experience with Snowflake and/or AWS Redshift.
  • Experience developing Power BI dashboards and enterprise reporting solutions.
  • Experience working with AI/ML platforms, Large Language Models (LLMs), prompt engineering, and AI-enabled analytics solutions.

 

Responsibilities

  • Lead enterprise architecture efforts for AI, cloud, analytics, and data platform initiatives.
  • Design and implement scalable AI and Machine Learning solutions.
  • Evaluate and integrate Large Language Models (LLMs) into enterprise environments.
  • Define data warehouse architecture, data pipelines, ETL frameworks, and data governance strategies.
  • Develop architecture standards, best practices, and technical roadmaps.
  • Review and approve solution designs, architecture diagrams, and integration patterns.
  • Ensure compliance with enterprise security and architecture standards.
  • Provide technical leadership, mentorship, and guidance to engineering teams.
  • Support production issue resolution and high-priority technical investigations.
  • Collaborate with executive leadership and business stakeholders on strategic technology initiatives.
  • Drive continuous improvement across architecture, engineering, and delivery practices.

Additional Information

  • Long-term opportunity supporting enterprise modernization initiatives.
  • Candidate must be available for onsite work in the Sacramento area.
  • In-person interviews are required.
  • Strong communication and executive presentation skills are essential.

To be considered, please send your resume to:

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: redoakfl
  • Position Id: 7235
  • Posted 3 days ago
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