Data Architect AI-Driven Analytics & Cloud Data Platform

Compunnel, Inc.; Trenton (NJ); On-site; USD 110,000 - 150,000; Full time

Job summary

A leading technology solutions provider is seeking an experienced Data Architect in Trenton, NJ to design and implement data solutions that support analytics and AI-driven initiatives. The ideal candidate will have over 5 years of experience with Python, Power BI, and AWS services including SageMaker. Responsibilities include building reports and dashboards, integrating data, and ensuring data quality. This opportunity requires collaboration with diverse stakeholders to craft efficient data strategies and solutions.

Qualifications

• 5+ years of experience writing Python and building data pipelines.
• 3+ years of experience working with Data Lakes in an AWS environment.
• 3+ years of experience with reporting tools such as Power BI.
• 2+ years of experience with SQL and ETL processes.
• Hands-on experience with AWS services including SageMaker, Bedrock, and QuickSight.
• Strong understanding of data ingestion from various sources and database structures.

Responsibilities

• Design and implement data architecture to support analytics and AI-driven solutions.
• Build intuitive and insightful reports and dashboards using Power BI.
• Integrate and process structured and unstructured data from multiple sources.
• Develop and deploy intelligent models and generative AI solutions.
• Collaborate with stakeholders to deliver business-focused solutions.
• Ensure data quality, security, and compliance throughout the data lifecycle.

Skills

Python

Power BI

AWS services (SageMaker, Bedrock)

SQL

ETL processes

Data ingestion (APIs, databases, CSV)

Machine learning

Data Lakes

Job description

A leading technology solutions provider is seeking an experienced Data Architect in Trenton, NJ to design and implement data solutions that support analytics and AI-driven initiatives. The ideal candidate will have over 5 years of experience with Python, Power BI, and AWS services including SageMaker. Responsibilities include building reports and dashboards, integrating data, and ensuring data quality. This opportunity requires collaboration with diverse stakeholders to craft efficient data strategies and solutions.