Data Architect

  • Trenton, NJ
  • Posted 2 days ago | Updated 2 days ago

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Computerized System Validation
Data Structure
Dashboard
Generative Artificial Intelligence (AI)
Visualization
Python
SQL
Microsoft Power BI
Microsoft Azure
Machine Learning (ML)

Job Details

Job Description

Position: Data Architect

Location: Trenton, NJ, 08625 - (3 days on site, 2 days remote)

Duration: 6 months contract

Job Description

We are in need of a Data Architect to research, design, develop, and evaluate data that support the creation of reports and dashboards which will be utilized for analytics. This would include the use of visualization tools, artificial intelligence, and machine learning.

The Data Architect will work with Power BI and Python and have a strong understanding of data structures. This position will work with Bedrock, Sagemaker or similar tools to work on our clients AI solution. ETL and data analysis experience are key to the success in this role.

What You'll Do

  • Build intuitive and insightful reports and dashboards using visualization platforms like Power BI
  • Integrate and process structured and unstructured data from various sources
  • Build, deploy or integrate intelligent models and generative AI solutions into business workflows using Amazon SageMaker and AWS Bedrock
  • Work with technical and non-technical stakeholders

Required:

  • 5 years experience with writing Python
  • 5 years experience with building data pipelines
  • 3 years experience in Data Lakes in an AWS environment
  • 3 years experience with reporting tools: PowerBI
  • 2 years experience with SQL
  • Knowledge and experience with some of the major CSPs (AWS and Azure)
  • Prior experience with AWS Bedrock and WS QuickSight or similar
  • 2 years experience with using AWS SageMaker or similar
  • Experience designing reports, charts, and dashboards using tools such as PowerBI, QuickSight
  • Proficient in Python, SageMaker, Bedrock, Kiro, and other AI services
  • Understands data ingestion from various data sources (APIs, databases, csv, etc.), database structures
  • Data-driven professional with a strong analytical mindset and hands-on experience in the full data lifecycle from ingestion and transformation to visualization and advanced analytics
  • Proficient in integrating and processing structured and unstructured data from various sources, leveraging tools such as SQL, Python, or ETL frameworks
  • Expertise in building intuitive and insightful reports and dashboards using visualization platforms like Power BI is essential
  • Ability to communicate findings effectively to both technical and non-technical stakeholders
  • Solid understanding of AI and machine learning concepts, with practical experience using platforms like Amazon SageMaker and AWS Bedrock
  • A combination of technical acuity, problem-solving ability, and business awareness is critical for success in this role

Preferred:

  • Prior experience with AWS Kiro nice to have
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