Enterprise Data Products & AI Analytics Architect

BARNES

Bristol (CT)

On-site

USD 110,000 - 172,000

Full time

4 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
Health Savings Account (HSA) with 公司"s

Job summary

BARNES Aerospace seeks an experienced Enterprise Data Products & AI Analytics Architect to lead strategy, architecture, and delivery of data products and AI analytics. You will own the Azure/Databricks data platform, drive Power BI architecture, and shape the AI-powered analytics roadmap across ERP systems.

You will lead data engineering, governance, and BI standards while collaborating with IT and business stakeholders to deliver scalable analytics solutions.

Qualifications

  • Bachelor's degree in CS, Engineering, IS, Data Science, or related field.
  • 12+ years in data engineering, enterprise data architecture, analytics engineering, or BI.
  • 5+ years of technical leadership designing enterprise-scale data platforms.
  • Deep experience with Azure Data Factory, Azure Databricks, ADL, SQL, Python, PySpark, Spark SQL, and Delta Lake.
  • Proven Medallion Architecture implementation across ERP/enterprise systems.
  • Strong Power BI modeling, DAX, and enterprise reporting architecture expertise.
  • Experience with data quality, governance, observability, lineage, and metadata management.

Responsibilities

  • Own architecture, standards, and roadmap for enterprise data products and analytics solutions.
  • Lead data integration, ingestion, transformation, and modeling across Azure, Databricks, and ERP environments using Medallion Architecture.
  • Establish standards for data quality, governance, observability, lineage, and master data management.
  • Define and optimize the Power BI semantic layer, KPI governance, and self-service analytics capabilities.
  • Drive AI for BI strategy including AI-enabled analytics, conversational BI, and AI-assisted dashboards.
  • Develop reusable data models, standardized definitions, and certified datasets for enterprise reporting.
  • Establish DataOps/CI-CD frameworks and architectural governance standards.
  • Provide hands-on technical leadership, design, code reviews, troubleshooting, and performance optimization.
  • Collaborate with stakeholders, IT, and partners to deliver scalable analytics solutions.

Skills

Data engineering
Enterprise data architecture
Analytics engineering
Business intelligence
Leadership
Communication
Stakeholder management
Python
SQL
PySpark
Spark SQL
Delta Lake
Databricks
Azure Data Factory
Azure Databricks

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field

Tools

Azure Data Factory
Azure Databricks
Azure Data Lake
SQL
Python
PySpark
Spark SQL
Delta Lake
Power BI
Git
Azure DevOps
CI/CD
DataOps

Job description

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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights notice from the Department of Labor.

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