Enterprise Data Products – AI Analytics Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the architecture, standards, and roadmap for enterprise data products and analytics solutions.

• Direct data integration, ingestion, transformation, and modeling across Azure, Databricks, and various ERP environments utilizing Medallion Architecture.

• Establish enterprise-wide standards for data quality, governance, observability, lineage, certification, and master data management.

• Define and enhance the Power BI semantic layer, covering KPI governance, business logic, calculations, aggregations, and self-service analytics capabilities.

• Propel Barnes' AI for BI strategy, which includes AI-enabled analytics, conversational BI, natural language querying, and AI-assisted dashboard development.

• Create reusable data models, standardized business definitions, and certified datasets to support enterprise reporting and decision-making.

• Set engineering best practices, DataOps/CI-CD frameworks, and architectural governance standards.

• Offer 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-centric 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 experience in technical leadership, designing, and delivering enterprise-scale data platforms and data products.

• Extensive 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 background in data modeling, Power BI semantic models, DAX, enterprise reporting architecture, and performance optimization.

• Experience in implementing data quality, governance, observability, lineage, monitoring, and metadata management frameworks.

• Familiarity 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.

• Excellent communication, stakeholder management, and business acumen, with the capability to translate business requirements into scalable technical solutions.

• Experience in aerospace, manufacturing, industrial, or multi-site ERP environments is preferred.

• U.S. export-control requirements may apply; applicants who are not U.S. Persons may need 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.