Enterprise Data Architect (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Enterprise Data Architect in United States.

This role offers a strategic opportunity to shape the enterprise data architecture for a large-scale organization, enabling data-driven decision-making across all business units. The ideal candidate will drive data strategy, define governance practices, and design scalable, modern platforms that support analytics, AI/ML, and operational needs. You will collaborate closely with business leaders, technology teams, and cross-functional stakeholders to ensure data solutions are reliable, secure, and aligned with enterprise objectives. This is a high-impact position where your expertise in cloud platforms, data modeling, and emerging technologies will directly influence business outcomes and innovation.

Accountabilities:

• Develop and execute enterprise-wide data strategies and roadmaps aligned with business goals.
• Design domain-aligned data models and architectures to support analytics, AI/ML, and operational systems.
• Collaborate with business and technology stakeholders to understand requirements, translate them into technical solutions, and co-create AI-driven use cases.
• Establish and enforce data governance, security, and compliance frameworks across the enterprise.
• Facilitate cross-functional design sessions to ensure scalable, performant, and integrated solutions.
• Evaluate emerging technologies and platforms (cloud, AI/ML, streaming, microservices) and recommend adoption strategies.
• Mentor and enable other architects and technical teams through training, documentation, and best practices.
• Provide architectural guidance throughout project lifecycles, ensuring alignment with standards and enterprise goals.

• Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degree preferred.
• 10+ years of experience in enterprise data architecture or technical leadership within large-scale organizations.
• Expertise in data modeling, metadata management, data integration, and governance practices.
• Experience with cloud platforms (AWS, Azure, GCP), modern data platforms (Snowflake, Databricks), and streaming technologies (Kafka, Spark).
• Practical experience implementing AI/ML solutions and cloud platforms at scale.
• Strong stakeholder management, communication, and change leadership skills.
• Familiarity with CI/CD, containerization, and DevOps methodologies.
• Knowledge of data security, privacy, and compliance standards (GDPR, CCPA, PCI).
• Preferred: Experience with enterprise architecture frameworks (TOGAF, Zachman), data mesh/fabric, and analytics tools.