Solution Architecture Lead (AI & Data Platforms)

Staff Tech

West Sacramento, CA, United States

2 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Engineering Data Governance Data Infrastructure Data Integration Extract Transform Load (ETL)

+20 more

Data Warehousing Software Design Patterns Python (Programming Language) Machine Learning Query Optimization Power BI Standard Sql Azure Machine Learning Google Cloud Large Language Models Snowflake Prompt Engineering Generative AI Event Driven Architecture Infrastructure Automation Frameworks Enterprise Integration Terraform Data Pipelines Amazon Redshift Microservices

Job description

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., * 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.

Requirements

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., * Strong communication and executive presentation skills are essential.