Enterprise Data Platform Architect | Cloud, AI/ML Ready

Wishtree Technologies; Michigan; On-site; USD 150,000 - 210,000; Full time

Job summary

Wishtree Technologies is seeking a senior Data Architect to define and govern the enterprise data architecture strategy. You will design scalable data platform architectures to support analytics, AI/ML, and enterprise applications across the organization.

You will lead data modeling, data integration, and governance efforts, partnering with SAP/ERP teams and data engineers to modernize our cloud data landscape and ensure secure, scalable data services.

Qualifications

• Strong experience in Enterprise Data Architecture.
• Knowledge of data modeling concepts (conceptual, logical, physical).
• Experience with cloud data platforms (Azure, GCP, Databricks).
• Experience with SAP data integration and enterprise systems.
• Ability to lead architecture reviews and governance initiatives.
• Strong stakeholder management and communication skills.

Responsibilities

• Define and maintain enterprise data architecture strategy, standards, and reference architectures.
• Design scalable Data Platform architectures supporting analytics, AI/ML, and enterprise applications.
• Develop data models (conceptual, logical, physical) and data architecture patterns.
• Establish data governance frameworks, policies, standards, and operating models.
• Collaborate with SAP, ERP, CRM teams to integrate data into the enterprise platform.
• Lead architecture reviews, solution governance, and modernization initiatives.

Skills

Enterprise Data Architecture

Data Modeling

Cloud Data Platforms

Data Governance

Data Integration

Stakeholder Management

Education

Bachelor's degree in a relevant field

Tools

Databricks

Azure

SAP data integration

Data Catalog tools

Job description

Wishtree Technologies is seeking a senior Data Architect to define and govern the enterprise data architecture strategy. You will design scalable data platform architectures to support analytics, AI/ML, and enterprise applications across the organization.

You will lead data modeling, data integration, and governance efforts, partnering with SAP/ERP teams and data engineers to modernize our cloud data landscape and ensure secure, scalable data services.