Data Engineer AI Platform Architect

Artech LLC

New York, NY
22 days ago

$65–$70 Per Hour

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Skills

Amazon Web Services (AWS)unmatched
Application Programming Interface (API)unmatched
Architectural Designunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Big Dataunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Data Managementunmatched
Data Processingunmatched
Data Scienceunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Dockerunmatched
Emerging Technologyunmatched
GCP (Good Clinical Practices)unmatched
Information/Data Security (InfoSec)unmatched
Local Area Network (LAN)unmatched
Machine Learningunmatched
Microservicesunmatched
Microsoft Windows Azureunmatched
Network Routingunmatched
Network Switchingunmatched
Performance Tuning/Optimizationunmatched
Privacy Controlsunmatched
Project/Program Managementunmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Software Engineeringunmatched
Use Casesunmatched
Wide Area Network (WAN)unmatched

Description

Request ID: 96910-1
Title: Data Engineer – AI Platform Architect
Locations: New York, NY
Duration: 6 Months
Pay Range: $65 - $70/Hour on W2/C2C (All inclusive)

Role Descriptions:
Job Summary
We are seeking an experienced Data Engineer – AI Platform Architect to design, build, and optimize scalable data and AI platforms that support advanced analytics, machine learning, and generative AI solutions. The ideal candidate will have expertise in data engineering, cloud platforms, AI/ML architectures, and enterprise-scale data solutions.
Key Responsibilities
Design and architect scalable AI and data platforms to support analytics, machine learning, and GenAI use cases.
Develop and maintain robust data pipelines, ETL/ELT processes, and data integration frameworks.
Build and manage data lakes, data warehouses, and real-time streaming solutions.
Collaborate with data scientists, ML engineers, and business stakeholders to deploy AI/ML models into production.
Define data governance, security, privacy, and compliance standards.
Optimize platform performance, scalability, reliability, and cost efficiency.
Architect cloud-native solutions using Azure, AWS, or GCP.
Implement MLOps and DataOps best practices.
Evaluate and integrate emerging AI technologies and tools.
Required Skills
Strong experience in Data Engineering and Data Architecture.
Expertise in Python, SQL, Spark, Databricks, and data processing frameworks.
Experience with cloud platforms (Azure, AWS, or GCP).
Knowledge of data lakes, data warehouses, and big data technologies.
Hands-on experience with Machine Learning, Generative AI, and MLOps.
Experience with orchestration tools such as Airflow, Azure Data Factory, or similar.
Understanding of APIs, microservices, and containerization technologies (Docker, Kubernetes).
Strong knowledge of data governance and security principles.

Skills: Network Routing(WAN Technology)~Network Switching(LAN Technology)~Project Management
Experience Required: 8-10

Company Benefits & Culture

Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive health and wellness benefits

Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks

Numbers & Facts

Location	New York, NY
Salary	$65–$70 Per Hour

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