Enterprise Data Architect

Our client is seeking an Enterprise Data Architect with a strong focus on Microsoft Fabric and AI-driven data ecosystems to help design and evolve their enterprise data landscape. This role is ideal for someone who operates at the logical and conceptual architecture level, shaping how structured and unstructured data is organized, governed, and leveraged for advanced analytics and AI use cases.

This is not a hands-on SQL development role instead, you will define data strategies, architectural patterns, and integration frameworks that enable scalable, intelligent data platforms.

Key Responsibilities:

• Define and maintain the enterprise data architecture strategy aligned with business and AI initiatives
• Design logical data models supporting both structured and unstructured data domains
• Architect solutions leveraging Microsoft Fabric (Lakehouse, Data Factory, OneLake, Synapse integration)
• Establish data architecture standards, patterns, and governance frameworks across the organization
• Partner with business, analytics, and engineering teams to translate requirements into scalable data solutions
• Guide the integration of AI/ML capabilities into the enterprise data ecosystem
• Define data classification, lineage, and metadata management strategies
• Provide architectural oversight for data ingestion, transformation, and consumption layers
• Collaborate with security teams to ensure data privacy, compliance, and access controls
• Act as a thought leader on modern data architecture trends, especially within the Microsoft ecosystem

Required Qualifications:

• 10+ years of experience in data architecture, data modeling, or enterprise data strategy
• Strong experience with Microsoft Fabric or related Microsoft data platforms (Azure Synapse, Data Lake, Power BI)
• Expertise in designing logical and conceptual data models
• Experience working with both structured and unstructured data architectures
• Solid understanding of data governance, metadata management, and data quality frameworks
• Familiarity with AI/ML data requirements and data preparation patterns
• Ability to work across teams and influence technical direction without direct authority

Preferred Qualifications:

• Experience with data mesh, data fabric, or lakehouse architectures
• Exposure to AI/ML platforms and integration into enterprise data ecosystems
• Knowledge of enterprise architecture frameworks (e.g., TOGAF)
• Experience in cloud-native data platforms, especially within Azure

Salary/Rate: $75-$100/HR (depends on experience level). This is a contract position with candidates expected to work 40 hours/ week.

About The Company

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

Helping every client make the best hiring decisions possible

Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

These AI hiring tools help us:

• Transcribe interviews
• Summarize candidate responses
• Generate job-related insights
• Streamline communication and scheduling

Please note that:

The AI does NOT make hiring decisions; all decisions are made by our human recruiters, hiring managers, or client partners.

The AI does not evaluate facial expressions, emotions, or physical traits; it is used only to support fairness, consistency, and efficiency.

If you prefer a non-AI interview format, we will gladly provide an alternative.

Technical or Case Interviews (Role-Dependent):

When applying for certain tech jobs, you may participate in:

• A technical interview
• A coding challenge
• A case study
• A client-specific assessment

We will always explain what to expect in advance so you can prepare with confidence.

Human Review & Selection:

Every candidate's profile including interviews, conversations, and assessments is reviewed by experienced recruiters and hiring leaders.

AI insights may assist with organization and evaluation, but final decisions are always human-driven.

Your Rights as a Candidate:

At PTP, every candidate has the right to:

Request a non-AI interview path

Ask how your data is being used

Request access to transcripts or interview recordings

Request deletion of your AI-recorded interview

Receive clear, timely communication

Our goal is to ensure you feel respected, informed, and supported throughout your experience.

Our Commitment

For more than 28 years, PTP has focused on putting people first candidates, consultants, employees, and clients.

We're committed to a hiring process that is:

• Transparent
• Compliant
• Equitable
• Powered by innovative technology that enhances not replaces human judgment

Welcome to the future of hiring at Peterson Technology Partners.

We're excited to learn more about you.

Equal Employment Opportunity:

Peterson Technology Partners is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, veteran status, or any other protected characteristic.