Solutions Architect
Summary
Remote 1099 project-based Solutions Architect role designing and deploying AI-powered applications natively on Azure Databricks — including RAG agents, Unity Catalog governance, Databricks SQL, OAuth authentication, and Model Serving — while leading architecture standards and collaborating with higher-education clients' data, security, and business teams.
The Solutions Architect will lead the design and deployment of AI-powered applications directly on the Azure Databricks platform. This individual will architect solutions that run natively on the Databricks serverless environment—eliminating the need for separate hosting infrastructure—while integrating tightly with core platform services for data governance, querying, authentication, and model serving. The role blends hands-on technical architecture with cross-functional leadership across data, security, and application teams.
CampusWorks consultants engage with our clients in higher education to assist them in fully leveraging their people, processes, policies, and technologies. We work collaboratively with clients' functional and technical teams and our CampusWorks colleagues to evaluate current processes, design future-state optimal processes, and to architect, develop, test, train, and rollout process and technical solutions that delight our clients. As a 1099 project-based consultant, you will enjoy the flexibility of remote work while contributing to the success of leading intstitutions.
Responsibilities:
- Lead end-to-end deployment of AI applications on the Databricks Apps platform, from architecture design through production rollout and ongoing maintenance.
- Architect serverless-first solutions that leverage Databricks Apps to eliminate external hosting infrastructure, inheriting the platform’s built-in security, compliance, and resource management capabilities.
- Design and integrate AI agents (e.g., Retrieval-Augmented Generation / RAG patterns) using Databricks Agent tooling, and manage the full agent lifecycle—creation, deployment, testing, and monitoring.
- Establish data governance through Unity Catalog for centralized access control, lineage, and security across application data assets.
- Enable efficient data access by integrating applications with Databricks SQL for querying large datasets at scale.
- Implement secure authentication using OAuth and platform-native identity and authorization patterns.
- Configure and optimize Model Serving and Serving Endpoints for deploying and querying ML models and LLM agents at scale.
- Collaborate with data engineering, security, and business stakeholders to translate requirements into scalable, governed, production-ready solutions.
- Define architecture standards, reference patterns, and best practices for AI application development on Databricks.
Qualifications:
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Databricks SQL |
Designing and optimizing queries against large datasets. |
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OAuth / IAM |
Implementing secure authentication and authorization flows. |
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Model Serving & Endpoints |
Deploying and scaling ML models and LLM agents via serving endpoints. |
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AI Agent Frameworks |
RAG architectures and frameworks such as LangChain and/or LlamaIndex. |
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MLflow |
Logging, testing, debugging, and monitoring agents and models. |
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Application Frameworks |
FastAPI, Flask, Streamlit, Dash, or Gradio; front-end experience with React or a comparable modern JavaScript framework. |
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Programming |
Strong Python proficiency for application, agent, and pipeline development. |
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Data Pipelines / ETL |
Experience with Databricks Jobs and workflow orchestration. |
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Cloud Architecture |
Microsoft Azure networking, security, and compliance fundamentals. |
Preferred:
- Prior experience delivering enterprise chatbot or conversational AI solutions.
- Familiarity with token streaming, request logging, and review-app patterns for production AI agents.
- Industry-specific solution experience (e.g., operations management, analytics-heavy domains).
- Relevant certifications (e.g., Databricks Certified Data Engineer / ML, Azure Solutions Architect)
Core Competencies:
- Strong architectural judgment balancing scalability, security, governance, and cost.
- Ability to lead technical delivery and mentor engineering teams.
- Clear communication with both technical and executive/business stakeholders.
- Bias toward practical, outcome-driven solutions.
Skills
As published by lever · 15 questions · 8 written answers
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL
Pick from a list (7)
- Your potential contract position is contingent upon the successful completion of a reference, and background check, including a social media check. A professional third-party firm certified to provide these services will complete the checks in accordance with the Fair Credit Reporting Act (FCRA). The background check will be performed upon which you are provided a conditional offer of employment. Please acknowledge the completion of a background check is a condition of your contract with CampusWorks.
- How many years of hands-on experience do you have building production data pipelines and data warehouse/lakehouse solutions using Azure Databricks? optional
- Which Azure Databricks capabilities have you used in production environments? (Select all that apply.) optional
- Do you have experience working within higher education? (As in at a University, College, or Community College)?
- Please provide your highest level of education completed. optional
- Have you previously been employed by CampusWorks? optional
- In submitting this application, I affirm that all the information provided herein is true and accurate to the best of my knowledge.
Written answers (8)
- Please share your Full Legal Name for the background check.
- Please highlight your functional and technical experience supporting the Higher Education space?
- Please share your area(s) of specialty/majors completed.
- If so, please list the dates and in what role. optional
- How many hours a week are you available?
- What is your preferred hourly compensation range for this position?
- Please share your home street address:
- City, State, Zip Code: