Senior Enterprise Data & AI Analytics Architect

Barnes Aerospace

United States

On-site

USD 110,000 - 172,000

Full time

48 hours ago

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Benefits offered by this job

Medical, dental, and vision insurance

Health Savings Account with company’s

401(k) with company matching

Life and disability insurance

Paid vacation and holidays

Employee assistance program (EAP)

Wellness programs

Tuition reimbursement

Employee discounts

Work-life support resources

Job summary

Barnes Aerospace seeks an Enterprise Data Products & AI Analytics Architect to lead strategy, architecture, and delivery of enterprise data products and AI-enabled analytics. This hands-on leadership role requires deep expertise in data engineering, enterprise architecture, BI, and modern analytics technologies to enable trusted, scalable business intelligence across ERP systems.

The candidate will own end-to-end data product lifecycle, define enterprise Power BI architecture, and drive

Qualifications

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.

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.