Data Architect

Overview

On Site
USD 70.00 - 72.00 per hour
Full Time

Skills

Jersey
Pivotal
Collaboration
Data Integrity
MagicDraw
ERwin
PowerDesigner
ER/Studio
Data Management
Master Data Management
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
XML
JSON
Apache Avro
Resource Description Framework
Meta-data Management
Innovation
Data Warehouse
Extract
Transform
Load
Artificial Intelligence
Machine Learning (ML)
Data Architecture
Data Modeling
Data Governance
Regulatory Compliance
Database
Microsoft SQL Server
Oracle
Apache Cassandra
MongoDB
Cloud Computing
Communication
Unstructured Data
Advanced Analytics
Business Intelligence
Data Quality
Data Security
Privacy
Marketing

Job Details

Location: Jersey City, NJ
Salary: $70.00 USD Hourly - $72.00 USD Hourly
Description: Role Overview

As a Data Architect, you will play a pivotal role in designing and implementing robust data architecture frameworks across systems. You will collaborate with cross-functional teams to ensure data integrity, security, and compliance while driving innovation in data management and governance.

Responsibilities
  • Design and implement logical data models using tools like MagicDraw, Erwin, PowerDesigner, or ERStudio.
  • Develop and maintain data management frameworks, including glossaries, taxonomies, master data management, and data lineage.
  • Ensure adherence to compliance policies and data security best practices, including GDPR and CCPA.
  • Architect cloud-based solutions leveraging platforms such as AWS, Azure, and Google Cloud Platform.
  • Define and implement data communication formats like XML, JSON, Avro, and RDF.
  • Lead the development of enterprise-grade data models and metadata management solutions.
  • Drive innovation in data technologies, including data warehousing, data lakes, ETL, and AI/ML applications.


Minimum Qualifications
  • Proficiency in data architecture and design across systems.
  • Hands-on experience with data modeling tools and methodologies.
  • Strong knowledge of data governance, privacy, and compliance frameworks.
  • Expertise in relational and non-relational DBMS (e.g., SQL Server, Oracle, Cassandra, MongoDB).
  • Familiarity with cloud platforms and data communication formats.


Preferred Qualifications
  • Demonstrated success in implementing enterprise-grade data models.
  • Experience with unstructured data and advanced analytics tools.
  • Knowledge of business intelligence tools and data quality concepts.
  • Strong understanding of data security and classification standards.

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Contact:

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