Hybrid Enterprise Data Architect for AI & Analytics

Charter Manufacturing; Mequon (WI); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health, dental, vision benefits

401(k) with company match

Job summary

Charter Manufacturing seeks an Enterprise Data Architect to shape the data strategy and build scalable data platforms across hybrid cloud and on‑prem environments. You will partner with Digital, Operations, Supply Chain, and Finance to deliver trusted data for BI, analytics, and AI initiatives.

You will lead modernization efforts, implement governance, and design data products that improve decision‑making and operational excellence while mentoring teams in best practices across cloud and data

Qualifications

• Bachelor's degree or equivalent experience in a related field.

Responsibilities

• Design and evolve enterprise data architecture to support analytics, automation, and AI initiatives (enterprise scale).
• Establish scalable patterns for data ingestion, integration, storage, transformation, and consumption across hybrid cloud and on-prem environments.
• Define architectural standards for APIs, ETL/ELT, streaming, CDC, and reusable data products.
• Mentor data teams and communicate architectural vision to executives and stakeholders.

Skills

Data architecture

Enterprise data platform design

Cloud data technologies

Data governance

Stakeholder communication

SQL

Python

Tableau/Power BI

Azure

Snowflake/Databricks

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or related; equivalent experience

Tools

Azure Data Services

Snowflake

Databricks

PySpark

SQL

Python

Tableau

Power BI

Alteryx

Kafka

CDC

Job description

Charter Manufacturing seeks an Enterprise Data Architect to shape the data strategy and build scalable data platforms across hybrid cloud and on‑prem environments. You will partner with Digital, Operations, Supply Chain, and Finance to deliver trusted data for BI, analytics, and AI initiatives.

You will lead modernization efforts, implement governance, and design data products that improve decision‑making and operational excellence while mentoring teams in best practices across cloud and data