Enterprise Data Architect – AI Readiness / Data Transformation

Overview

Location: Anywhere (Remote) Type: Contract-to-Hire Category: Architecture Industry: Retail Reference ID: JN-062026-107476

Our client is seeking an Enterprise Data Architect to lead a major data transformation focused on AI readiness, data quality, governance, and enterprise-wide modernization. This is a 6-12 month contract-to-hire opportunity.

Compensation:

• Contract Rate: $90-$100/hr W-2
• Conversion Salary: ~$180K base + 20% bonus

This is a strategic leadership role, not a hands-on engineering position. You will drive change across siloed teams, influence leadership, and prepare the data ecosystem for AI, machine learning, and advanced analytics.

Responsibilities

• Lead enterprise data architecture and transformation efforts focused on AI readiness and data usability.
• Assess the current landscape to identify gaps hindering AI, ML, and analytics initiatives.
• Create actionable roadmaps to improve data health and reduce fragmentation.
• Drive alignment across business and technology teams regarding data models, flows, and governance.
• Partner with senior leadership to evolve data strategy and execution.
• Influence cross-functional teams without direct authority.
• Define architecture standards, integration patterns, and data management best practices.
• Support platforms including Google Cloud Platform (GCP), Salesforce, AWS, and on-prem environments.
• Evaluate and recommend modernization or migration strategies.

Experience Requirements

• 10+ years of IT experience, with 3-5+ years in a Data Architect or similar leadership role.
• Proven success leading large-scale data transformation or modernization initiatives.
• Deep understanding of preparing enterprise data for AI, ML, and advanced analytics.
• Demonstrated ability to improve data quality, governance, and ownership.
• Strong experience influencing stakeholders and driving adoption in complex organizations.
• Technical proficiency in data warehousing, integration, and modeling.
• Strong experience with Google Cloud Platform (BigQuery, pipelines).
• Experience with Salesforce, AWS, ETL, APIs, and microservices is highly valued.
• Ability to communicate effectively with both technical and executive audiences.

Preferred Skills

• Experience with large-scale consumer data environments.
• Background in customer data platforms, marketing/loyalty data, or digital product data.
• Familiarity with BI tools like Tableau, Power BI, or Looker.

Important Note

This role is not for candidates seeking a purely hands-on engineering position, those who require formal authority to influence, or those who prefer narrow, clearly defined ownership.

Benefits & Policies

• W-2 Employment: Applicants must be willing to work on a W-2 basis.
• Benefits: Includes medical, dental, vision, 401(k) with matching, and life insurance.
• Recruitment Transparency: Eliassen Group uses AI tools for initial screening. By applying, you consent to this process. All AI-assisted evaluations are reviewed by human recruiters.
• Equal Opportunity: Eliassen Group is an Equal Opportunity and Affirmative Action Employer.

Referral Program: Ask us about our $1,000 referral bonus!