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Data Architect

Company:
PTR Global
Location:
Jersey City, NJ
Posted:
May 02, 2025
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Description:

Job Title: Data Architect

Location: Jersey City, NJ. 07310

Duration: 6 Month of Project (Extension or Conversion based on performance and business need)

Pay Rate: $80/hr. - $90/hr. on W2 (without benefits)

Job Summary:

Expert in data architecture disciplines

Expert in architecture and design across all systems of the LOB.

Roles and Responsibilities:

This is a Data Governance position in Infrastructure Platforms LOB in the Technology Reference Data Product Line.

Additional Skills:

Fluency in Data/Information architecture and design across all systems, and knowledge in at least one area of infrastructure architecture disciplines

Significant hands-on experience with Logical Data Modelling using Magic Draw, Erwin, Power Designer, ERStudio, or similar UML modelling tool

Highly knowledgeable with implementation experience about relevant Data Management & Governance including: Data Glossaries, Taxonomy management, Master Data Management, Data Catalog, Data Lineage, Data Quality, Data Privacy, Data Classification, Data Discovery – demonstrable practical experience in as many of these as possible.

Evidence of Adherence to Compliance Policies and Procedures

Understanding of data security and best practices and compliance requirements such as GDPR, CCPA to protect sensitive information

Knowledge of Cloud Platforms like AWS, Azure, GCP and experience in designing cloud based solutions

Working Knowledge of Data Communication Formats such as XML, JSON, Avro and RDF

Broad expertise in data technologies; i.e., Data Warehousing, Data Lake, Data Lakehouse, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, AI/ML

Experience in designing and implementing data architecture frameworks and standards

Technical understanding of common relational DBMS; i.e., SQL Server,Oracle, etc.

Deep familiarity with various types of nonrelational DBMS ( Cassandra, MongoDB, CockroachDB, GraphDB )

Demonstrable success in defining and implementing multiple Enterprise grade Data Models; must be able to show experience modelling data management and/or other architectural metadata.

Strong Communication skills oral and written.

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