Why This Role Stands Out
This hybrid Data Architect role offers an exciting opportunity to shape cutting-edge AI and data platforms, fostering significant career growth in a reputable company. You'll thrive here if you possess deep expertise in data modeling and cloud technologies, enjoy collaborating with diverse teams, and are eager to drive impactful data solutions. Apply today to leverage your skills in a dynamic, forward-thinking environment!
Quick Overview
Job Description
Role : Data Architect (AI & Data Pod )
Location New York City - Hybrid
Role Summary
Defines and governs the data architecture for the engagement onsite, ensuring scalable, secure and well-modeled data platforms that support analytics and AI use cases.
Key Responsibilities
- Design enterprise data architecture, including data models, pipelines, storage and integration patterns
- Define data standards, governance, lineage and quality practices
- Evaluate and select data platform technologies in line with client strategy
- Partner with AI Architect and Data Engineers to enable ML and AI workloads
- Review designs and code for performance, security and scalability
- Document architecture decisions and present to technical and business stakeholders
- Ensure compliance with security, privacy and regulatory requirements
- Guide and mentor the offshore data team
- 13+ years in data architecture, engineering or analytics
- Deep expertise in data modeling (relational, dimensional, lakehouse)
- Hands-on experience with cloud data platforms (Azure, AWS or Google Cloud Platform) and tools such as
- Strong SQL and familiarity with Python
- Experience with data governance, MDM and data quality frameworks
- Excellent communication with technical and business audiences
- Cloud architect or data certification preferred
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