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Salary
$110k – $172k per year
Location
Remote (United States)
Seniority
Architect · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 29, 2026. Barnes Aerospace scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Windsor, Connecticut, Barnes Aerospace is a leading global manufacturer of precision aircraft and engine components, as well as a premier provider of aftermarket maintenance, repair, and overhaul (MRO) services. The company specializes in the production of complex, high-integrity parts - spanning from fan to exhaust sections - utilizing advanced machining, fabrication, and assembly capabilities for commercial aviation, defense, space, and industrial turbine applications. Serving major original equipment manufacturers (OEMs), airlines, and military programs worldwide, the organization delivers reliable lifecycle support and specialized turbine solutions that uphold the highest standards of safety and operational performance.

Barnes Aerospace is seeking an experienced Enterprise Data Products & AI Analytics Architect to lead the strategy, architecture, and delivery of enterprise data products and AI-enabled analytics. This role serves as the technical authority for Barnes' Azure and Databricks data platform, integrating data across multiple ERP systems and enabling trusted, scalable business intelligence.

The successful candidate will own the end-to-end data product lifecycle, define enterprise Power BI architecture and standards, and drive the organization's AI-powered analytics strategy. This is a hands-on leadership role requiring deep expertise in data engineering, enterprise architecture, business intelligence, and modern analytics technologies.

Responsibilities:

  • Own the architecture, standards, and roadmap for enterprise data products and analytics solutions.
  • Lead data integration, ingestion, transformation, and modeling across Azure, Databricks, and multiple ERP environments using Medallion Architecture.
  • Establish enterprise standards for data quality, governance, observability, lineage, certification, and master data management.
  • Define and optimize the Power BI semantic layer, including KPI governance, business logic, calculations, aggregations, and self-service analytics capabilities.
  • Drive Barnes' AI for BI strategy, including AI-enabled analytics, conversational BI, natural language querying, and AI-assisted dashboard development.
  • Develop reusable data models, standardized business definitions, and certified datasets that support enterprise reporting and decision-making.
  • Establish engineering best practices, DataOps/CI-CD frameworks, and architectural governance standards.
  • Provide hands-on technical leadership, solution design, code reviews, troubleshooting, and performance optimization.
  • Collaborate with business stakeholders, IT teams, and external partners to deliver scalable, business-focused analytics solutions.

Qualifications:

  • Bachelor's degree in computer science, Engineering, Information Systems, Data Science, or a related field.
  • 12+ years of experience in data engineering, enterprise data architecture, analytics engineering, or business intelligence.
  • 5+ years of technical leadership experience designing and delivering enterprise-scale data platforms and data products.
  • Deep expertise with Azure Data Factory, Azure Databricks, Azure Data Lake, SQL, Python, PySpark, Spark SQL, and Delta Lake.
  • Proven experience implementing Medallion Architecture and integrating data across multiple ERP and enterprise systems.
  • Strong experience with data modeling, Power BI semantic models, DAX, enterprise reporting architecture, and performance optimization.
  • Experience implementing data quality, governance, observability, lineage, monitoring, and metadata management frameworks.
  • Experience with AI-enabled analytics, Power BI Copilot, Databricks Genie, conversational BI, or similar technologies.
  • Knowledge of Azure DevOps, Git, CI/CD, and DataOps best practices.
  • Strong communication, stakeholder management, and business acumen with the ability to translate business requirements into scalable technical solutions.
  • Preferred: Experience in aerospace, manufacturing, industrial, or multi-site ERP environments.

Salary: $110,000 - $172,000

Barnes Aerospace offers eligible employees a comprehensive benefits package, including medical, dental, and vision insurance; a Health Savings Account (HSA) with company contributions for eligible medical plan participants; flexible spending accounts (FSAs); a 401(k) retirement plan with company matching contributions; life and disability insurance; and paid vacation and holidays. Additional offerings include an employee assistance program (EAP), wellness programs, tuition reimbursement, employee discounts, voluntary accident and critical illness coverage, pet insurance, and work-life support resources. Benefits are subject to applicable plan terms and eligibility requirements, which may vary based on employment status, position, and location.

This job position may include access to controlled information or technology subject to U.S. export control laws. If an applicant does not meet the definition of a “U.S. Person” (which includes U.S. citizens, U.S. lawful permanent residents, and those granted U.S. asylum or refugee status), the Company may be required to obtain an export control license. If the position for which you applied involves access to controlled information or technology subject to U.S. export control laws, then any offer is also contingent on verification of appropriate documentation for the Company to assess whether an export license will be required to employ you in that role, and if it is determined that an export license is required, the offer is also contingent on the Company’s determination, in its sole discretion, whether a license application and ongoing administration is prudent under the project’s contract parameters and whether an export license can be successfully obtained before you can start.

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