Principle Data Architect

The Principal Data Architect, AI & Supply Chain Platforms will join our team to define and lead the enterprise data strategy supporting AI, analytics, and supply chain platforms for our enterprise clients. This role involves establishing enterprise data models, architectural standards, governance frameworks, and scalable data architectures required to accelerate AI adoption across complex supply chain and logistics environments. You will work closely with executive stakeholders, technology leadership, and business teams to bridge business requirements with technology strategy, accelerate architectural decision-making, and mentor data leadership., * Enterprise Data Strategy: Create and maintain the enterprise data architecture roadmap supporting transportation, logistics, supply chain, and AI initiatives.

• Enterprise Data Modeling: Design and implement scalable enterprise data models that standardize data across operational, transportation, inventory, customer, and AI domains.
• AI-Ready Foundations: Ensure data platforms, pipelines, and structures are optimized for AI, machine learning, agentic AI, computer vision, and advanced analytics workloads.
• Governance & Standards: Define enterprise standards, design patterns, governance practices, metadata management, and architectural principles while partnering with governance teams to improve data quality, lineage, and master data management.
• Leadership & Stakeholder Collaboration: Translate business objectives and supply chain requirements into scalable architecture solutions, evaluate current platforms for modernization, and provide executive guidance as a trusted technical advisor.
• Lead the creation and execution of the enterprise data architecture roadmap tailored for complex supply chain, logistics, and AI transformation initiatives.
• Design and implement robust, scalable enterprise data models to unify operational, transportation, inventory, and AI domains.
• Architect AI-ready data foundations, pipelines, and structures optimized for machine learning, agentic AI, and advanced analytical workloads.
• Establish enterprise standards, metadata management, and data governance frameworks to ensure high data quality, lineage, and compliance.
• Act as a trusted technical advisor to executive stakeholders while mentoring internal data architects, engineers, and technology leaders.

• 10+ years of professional experience in enterprise data architecture and large-scale data modeling.
• Strong expertise with cloud data platforms and modern data architectures (including data lakes, data warehouses, and lakehouse environments).
• Proven experience supporting AI, machine learning, and advanced analytics initiatives.
• Deep knowledge of data governance, metadata management, master data management, and data integration strategies.
• Strong preference for hands-on platform experience with Snowflake, Microsoft Azure, Microsoft Fabric, Power Platform, and AI/ML ecosystems.
• Excellent leadership, mentoring, and executive communication skills with the ability to bridge complex business requirements and technical execution.

Preferred Qualifications

• Industry experience in Supply Chain, Fourth-Party Logistics (4PL), Transportation Management, Warehouse Operations, Inventory Optimization, or Manufacturing Distribution Networks.
• Advanced degrees or certifications in Computer Science, Data Architecture, or related technical fields.

Are you willing to relocate?* What’s your citizenship / employment eligibility?* In 150 characters or fewer, tell us what makes you unique. Try to be creative and say something that will catch our eye! 150 What experience or skills do you have that match the requirements of this position?* Desired Minimum Annual Salary or Hourly rate?* Do you have the legal right to work in the United States?* Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?* Closest Metropolitan Area*, Invitation for Job Applicants to Self-Identify as a U.S. Veteran

• A “disabled veteran” is one of the following:
• a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
• a person who was discharged or released from active duty because of a service-connected disability.
• A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
• An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
• An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: [INS: www.techstrasolutions.com :INS]

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics. Share