United States onlyThis 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.
Requirements
- 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.
Benefits
- Competitive salary range: $167,000 – $184,000, based on experience.
- Remote work flexibility across the U.S., with hybrid and work-from-anywhere options.
- Comprehensive healthcare coverage: medical, dental, vision, life, and disability insurance.
- 401(k) retirement plan with company match.
- Paid parental/adoption leave, caregiver leave, and wellness benefits including Headspace.
- Incentive bonus programs and annual performance reviews.
- Paid time off, volunteer days, and associate wellness half days.
- Career development opportunities, internal promotion pathways, and professional training.
- Inclusive and collaborative culture with multiple Associate Resource Groups.
- Merchandise discounts across company brands and global team engagement.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
