Enterprise Data Architect – AI Readiness / Data Transformation

Overview

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.

• Location: Anywhere (Remote)
• Type: Contract‑to‑Hire
• Category: Architecture
• Industry: Retail
• Reference ID: JN‑ ‑

Compensation

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

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 Affinitive Action Employer.
• Referral Program: Ask us about our $1,000 referral bonus!