BraunAbility

AI Data Architect

BraunAbility • $90K — $130K *
Winamac, IN 46996In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree with 6+ years of relevant work experience or 10 years of equivalent experience.
  • 3+ years in data engineering, architecture, or administration within an enterprise environment.
  • Deep technical expertise in SQL, enterprise data lakes, and ETL/ELT pipeline construction.
  • Experience implementing strict security frameworks and Role-Based Access Controls (RBAC).
  • Strong proficiency in API integrations between cloud and on-premises systems.
  • Exceptional troubleshooting and debugging skills for integration issues.

Responsibilities

  • Build and maintain data pipelines for BAA's AI solutions from various data sources.
  • Automate unstructured data ingestion and structuring for AI architectures.
  • Map complex enterprise data schemas to support AI architecture.
  • Develop and maintain testing environments for rapid experimentation.
  • Design and implement Role-Based Access Control (RBAC) and security protocols.
  • Monitor data flows for accuracy and system stability.
  • Develop secure API integrations and liaise with IT for infrastructure provisions.

Benefits

  • Opportunities for professional development and career advancement.
  • Collaborative work environment in a dynamic AI-focused team.
  • Access to the latest technology and tools for data management.
  • Engagement in innovative projects with a direct impact on business outcomes.
Full Job Description
Job Description:

Essential Functions:

  • Data Pipelining & Infrastructure


  • Build, optimize, and maintain the 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 to identify the exact tables, fields, and payloads required to support the cognitive architecture designed by the AI Studio Lead.


  • Build and maintain development 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 only query data explicitly authorized for the 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 development begins - 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 AI outputs remain accurate and 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.


  • 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, 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 technical expertise working 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 Role-Based Access Controls (RBAC) at the database and application layer.


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


  • Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.


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.


About BraunAbility

BraunAbility is a leading manufacturer of wheelchair accessible vehicles and wheelchair lifts for personal and commercial use. The company was founded in 1972 by Ralph Braun, who was a wheelchair user himself. BraunAbility is headquartered in Winamac, Indiana, and has manufacturing facilities in Indiana, Arizona, and Canada. The company's products are sold through a network of dealers in the United States and Canada. BraunAbility is committed to improving the lives of people with disabilities by providing them with safe and reliable transportation solutions.
Learn more about BraunAbility
Size
1,500 employees
Industry
Manufacturing & Automotive
Founded
1972
* Ladders Estimates

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