Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
Skills
Collaboration
Artificial Intelligence
Budget
Business Acumen
Cloud Computing
Computer Science
Advanced Analytics
Amazon Web Services
Analytics
Apache Spark
Big Data
Databricks
Financial Services
Generative Artificial Intelligence (AI)
Good Clinical Practice
Data Architecture
Data Governance
Data Management
Data Quality
Customer Engagement
Customer Facing
Customer Relationship Management (CRM)
Mentorship
Microsoft Azure
Predictive Modelling
Presentations
Leadership
Machine Learning (ML)
Management
Manufacturing
Marketing
Data Science
Google Cloud Platform
Health Care
IT Management
Innovation
Retail
SQL
Snow Flake Schema
Team Leadership
Thought Leadership
Privacy
Process Automation
Programming Languages
Python
Regulatory Compliance
Extract
Transform
Load
Operational Excellence
Performance Metrics
Software Development
Workflow
Job Details
Role: Data Warehouse Architect (Data & AI)
Location: New York, NY (Onsite)
Role Overview
We are seeking a seasoned Principal Architect (Data + AI) to lead the design and implementation of cutting-edge data platforms and AI/GenAI solutions. The role combines technical expertise, leadership, and client management to deliver scalable, innovative solutions that drive business success.
Key Responsibilities
- Client Engagement: Advise clients on data and AI strategies, translating business needs into technical solutions.
- Solution Development: Design scalable data platforms and AI-driven solutions using cloud technologies (Azure, AWS, Google Cloud Platform, Databricks, Snowflake).
- Data Governance: Implement frameworks ensuring data quality, security, and compliance with regulations (e.g., GDPR, CCPA).
- Leadership: Build and mentor high-performing teams, fostering innovation and collaboration.
- Operational Excellence: Optimize ETL pipelines, monitor data workflows, and establish key performance metrics.
Qualifications
- Education: Bachelor’s in Computer Science or related field (Master’s preferred).
- Experience: 10+ years in data architecture, analytics, and AI, with consulting and client-facing expertise.
- Technical Skills: Proficient in cloud platforms, big data technologies, data governance, and AI/ML frameworks.
- AI Expertise: Proven experience delivering AI/GenAI solutions for predictive modeling, automation, and personalization.
- Leadership: Strong ability to lead multidisciplinary teams and manage client relationships effectively.
Preferred Skills
- Experience across industries like retail, financial services, and healthcare.
- Expertise in customer data platforms and data-driven personalization strategies.
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