Role: Data Architect
Location: Hybrid in Trenton,NJ(Only Locals)
Duration: Long Term
Must have 15+years Experience
Note:Only GC and USC
Info: this person will be doing data architecture, working with data using Power BI and Python. Must have a strong understanding of data structures. Must have an understanding of Foundation Models. NJ is building a data platform to integrate with an AI solution. This is a data analytics person who has strong Python and Power BI and has worked with the cloud.
Interview: will receive and automated screening questionnaire. First round with Recruiting, possible phone screen with CAI Account Manager. 1 video or onsite interview with client hiring manager.
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.
Required Skills:
10+ years experience with writing Python
10+years experience with building data pipelines
10+years experience in Data Lakes in an AWS environment
10+ years experience with reporting tools: PowerBI
8+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
5+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 Skills:
Prior experience with AWS Kiro nice to have