AI Data Architect

Job Description:

Essential Functions:

Build,optimize, andmaintainthe data pipelines that feed BAA's AI solutions, connecting both structured and unstructured data from enterprise data lakes (Snowflake), ERP systems (Epicor), CRM (Salesforce), and document repositories (SharePoint).

Automate the ingestion and structuring of unstructured data (PDFs, manuals, contracts, emails) to enable highly accurate

Retrieval-Augmented Generation (RAG) architectures.

Map complex enterprise data schemas toidentifythe exact tables, fields, and payloadsrequiredto support the cognitive architecture designed by the AI Studio Lead.

Build andmaintaindevelopment and testing environments that allow the Studio to experiment rapidly without risking production systems.

Security, Governance & Compliance

Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment — ensuring AI agents onlyquery dataexplicitly authorizedforthe specific end-user.

Prevent data leakage across departments by structurally constraining what each AI model can access at the pipeline level, not just the application level.

Serve as the formal infrastructure checkpoint before cognitive architecture developmentbegins — confirming pipeline stability, RBAC compliance, and data integrity prior to any build phase commencing.

Monitor data flows for system drift, broken APIs, or context collapse, ensuring AIoutputsremainaccurateand safe for both office and factory floor operations.

Establish and maintain

Service Level Agreements (SLAs) for pipeline uptime — detecting and communicating failures before end-users are impacted.

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, ensuring 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 technicalexpertiseworking with SQL, enterprise data lakes, and ETL/ELT pipeline construction.

Strongproficiencyin building and securing API integrations between disparate cloud andon-premises systems.

Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) atthe database and application layer.

Exceptional troubleshooting and debugging skills — able to independently diagnose integration issues across legacy platforms without waiting for vendor support.

Comfortoperatingin a small, fast-moving team where you own entire work streams end-to-end without layers of specialization or handoffs.

Minimum Requirements:

Bachelor’s degree and minimum of6years of related work experience required.

An equivalent combination of education and/or related work experience equal to10years will also be considered.

3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment.

Braun Ability is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Braun Ability is the premier manufacturer of mobility solutions, specializing in wheelchair accessible vehicles, lifts, and securement products, enhancing independence for millions globally.

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