Data/Information Architect

Job Title : Data/Information Architect

Job Location : Charlotte NC / Pennington NJ (Fully Onsite)

Job Type : Full-Time

Job Description:

Skill: Data/Information Architect

• We are seeking a highly skilled and motivated Data Architect to join our innovative team. As a Data Architect, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives.
• You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

Responsibilities

Data Pipeline Development:

• Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
• Implement data validation and quality checks to ensure accuracy and consistency.

Data Modeling and Architecture

• Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
• Optimize data storage and retrieval mechanisms for performance and scalability.
• Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.

Data Integration and API Development:

• Build and maintain integrations with internal and external data sources and APIs.
• Implement RESTful APIs and web services for data access and consumption.
• Ensure compatibility and interoperability between different systems and platforms.

Data Infrastructure Management:

• Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.
• Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
• Implement data security controls and access management policies to protect sensitive information.

Collaboration and Documentation:

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
• Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
• Provide technical guidance and support to team members and stakeholders as needed.