Principal Data and AI Architect
Job in
Gilbert, Maricopa County, Arizona, 85233, USA
Listed on 2026-02-12
Listing for:
NeerInfo Solutions
Full Time
position Listed on 2026-02-12
Job specializations:
-
IT/Tech
Data Engineer, AI Engineer, Cloud Computing, Data Science Manager
Job Description & How to Apply Below
Role:
Senior Principal Data and AI Architect
Location:
Arizona
Employment type:
Full Time Permanent Overview
Role Overview: We are seeking a dynamic professional with a strong background in Data and AI, specializing in Snowflake, Kafka, and large-scale data modernization. The ideal candidate will be an innovator who explores emerging technologies, delivers cutting-edge solutions, and builds strong customer relationships to drive business success.
Responsibilities- Data Modernization & Architecture: Design and implement scalable data architectures leveraging Snowflake and modern cloud platforms. Lead large-scale data migration and modernization projects ensuring performance, security, and compliance.
- Streaming & Real-Time Data: Architect and manage Kafka-based streaming solutions for real-time data ingestion and processing. Optimize data pipelines for high throughput and low latency.
- AI & Advanced Analytics: Develop and integrate AI-driven solutions to enhance data insights and business decision-making. Stay ahead of emerging AI trends and technologies to recommend innovative solutions.
- Technology Exploration & Innovation: Continuously research and evaluate new tools, platforms, and methodologies to improve data ecosystems. Drive proof-of-concepts (POCs) and pilot projects for cutting-edge technologies.
- Customer Relationship Management: Act as a trusted advisor to clients, understanding their business needs and translating them into technical solutions. Build and maintain strong, long-term relationships with stakeholders to ensure project success and customer satisfaction.
- Proven expertise in Snowflake, Kafka, and cloud-based data platforms (AWS, Azure, or GCP).
- Strong experience in data modernization, migration strategies, and large-scale implementations.
- Solid understanding of AI/ML frameworks, data science principles, and analytics tools.
- Ability to explore and adopt new technologies quickly and effectively.
- Excellent customer engagement and relationship management skills.
- Strong communication and presentation abilities for both technical and business audiences.
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