Job Description

Role - Data Architect

Rate: W2

Line of Business: Enterprise Technology
Location: Jersey City, NJ (5 Days on site)

Business Goal:

This role is crucial for ensuring robust data governance within the Infrastructure Platforms LOB, specifically within the Technology Reference Data product line. The consultant will drive the implementation of data governance frameworks to enhance data quality, compliance, and security, ultimately supporting the organization's strategic objectives.

Key Responsibilities:

• Data/Information Architecture: Design and implement data architecture across all systems, with expertise in at least one area of infrastructure architecture disciplines.
• Logical Data Modelling: Utilize tools like MagicDraw, Erwin, PowerDesigner, ERStudio, or similar UML modelling tools for effective data modelling.
• Data Management & Governance: Implement and manage data glossaries, taxonomy management, master data management, data catalog, data lineage, data quality, data privacy, data classification, and data discovery.
• Compliance: Ensure adherence to compliance policies and procedures, including GDPR and CCPA.
• Cloud Platforms: Design cloud-based solutions using AWS, Azure, or GCP.
• Data Communication Formats: Work with XML, JSON, Avro, and RDF.
• Data Technologies: Expertise in data warehousing, data lakes, data lakehouses, ETL, data quality concepts, business intelligence tools, analytical tools, unstructured data, and AI/ML.
• Data Architecture Frameworks: Design and implement data architecture frameworks and standards.
• DBMS: Technical understanding of relational DBMS like SQL Server and Oracle, and non-relational DBMS like Cassandra, MongoDB, CockroachDB, and GraphDB.
• Enterprise Data Models: Define and implement multiple enterprise-grade data models, demonstrating experience in data management and architectural metadata.

Must-Haves:

• Fluency in data/information architecture and design.
• Significant hands-on experience with logical data modelling tools.
• Practical experience in data management and governance.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Understanding of data security and compliance requirements (GDPR, CCPA).
• Broad expertise in data technologies and DBMS.

Nice-to-Haves:

• Experience with data communication formats (XML, JSON, Avro, RDF).
• Familiarity with non-relational DBMS (Cassandra, MongoDB, CockroachDB, GraphDB).
• Success in defining and implementing enterprise-grade data models.

Skills:

• Strong communication skills, both oral and written.

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