Enterprise Data Products – AI Analytics Architect

🔥 20 minutes ago

🇺🇸 United States – Remote

💵 $110k - $172k / year

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

👻 Ghost score 0%

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Barnes Aerospace

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏭 Manufacturing

📦 Logistics

🚀 Aerospace

Manufacturing • Logistics • Aerospace

Barnes Aerospace is a global manufacturer and maintenance provider specializing in precision-machined and fabricated components and complex assemblies for aeroengines, airframes, and nacelles. The company also operates certified MRO repair stations (FAA, EASA and other authorities) offering component repair, overhaul, and modification services, and emphasizes strict compliance with industry standards (ISO, AS, Nadcap). With global facilities across the US, UK, Poland, Taiwan, and Singapore, Barnes serves commercial aviation, defense, industrial, and space customers and partners with OEMs on long-term manufacturing and aftermarket contracts.

📋 Description

• 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 supporting 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

🎯 Requirements

• 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 • Experience in aerospace, manufacturing, industrial, or multi-site ERP environments (preferred) • U.S. export-control requirements may apply; applicants who are not U.S. Persons may require an export control license

🏖️ Benefits

• Medical, dental, and vision insurance • Health Savings Account (HSA) with company contributions for eligible medical plan participants • Flexible spending accounts (FSAs) • 401(k) retirement plan with company matching contributions • Life and disability insurance • Paid vacation and holidays • Employee assistance program (EAP) • Wellness programs • Tuition reimbursement • Employee discounts • Voluntary accident and critical illness coverage • Pet insurance • Work-life support resources

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