AI Data Architect

Essential Functions

• Data Pipelining & Infrastructure Build
• Optimize and maintain data pipelines connecting enterprise data sources (Snowflake, Epicor, Salesforce, SharePoint).
• Automate ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) for RAG architectures.
• Map complex enterprise data schemas to identify necessary tables, fields, and payloads for the AI Studio Lead's cognitive architecture.
• Build and maintain development and testing environments for rapid experimentation in the AI Studio.

Security, Governance & Compliance

• Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols.
• Ensure AI agents only query data explicitly authorized for specific end-users.
• Prevent data leakage by structurally constraining what each AI model can access at the pipeline level.
• Confirm pipeline stability, RBAC compliance, and data integrity before cognitive architecture development begins.
• Maintain Service Level Agreements (SLAs) for pipeline uptime and detect failures before they impact end-users.

Platform Integration & IT Liaison

• Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack.
• Serve as the primary technical liaison to BAA IT and Global Data Architecture.
• Ensure infrastructure provisioning, database access, and cloud networking meet enterprise standards.
• Advocate for the AI Studio's technical needs within the broader IT governance ecosystem.
• Implement automated alerting systems for data pipeline failures.

Knowledge, Skills, Abilities

• Deep technical expertise with SQL, enterprise data lakes, and ETL/ELT pipeline construction.
• Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems.
• Experience implementing strict security frameworks and RBAC at the database and application layer.
• Exceptional troubleshooting and debugging skills, able to diagnose integration issues independently.
• Comfortable operating in a small, fast-moving team where responsibilities span entire workstreams.

Minimum Requirements

• Bachelor’s degree and minimum of 6 years of related work experience required.
• An equivalent combination of education and/or related work experience equal to 10 years will also be considered.
• 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

BraunAbility is an equal opportunity employer.