Data Architect Remote

Job Description

Data Architect Remote

Duration: 12 months

Location: Local New York 100% remote

Interview: Skype

Need Dl and Visa with submission!!

There are many details in the req below, but there are two non-negotiables:

Impressive track record with over 10 years of extensive experience in the higher education sector.
15-year tenure as a seasoned Data Architect.

**full detail of the job req below**

In addition to extensive experience in the higher education sector, the Data Architect should have the following qualifications:

Deep proficiency in data warehousing technologies and data integration pipelines using both ELT and ETL processes
Experience with data modeling, including schema design, data models, data flow diagrams, data dictionaries and metadata repositories
Experience designing and building complex data solutions using both SQL and non- SQL databases
Experience with Application Programming Interface (API) for custom workflows, microservices, and integration
Familiarity with Data Hub, Data Lakehouse, Data Fabric, and Data Mesh concepts and hybrid (on premises + cloud) data infrastructures
Knowledge with data science, machine learning, and statistical analysis techniques to build predictive models, perform advanced analytics, and derive actionable insights from data
Experience and knowledge building Data Catalogs and Data Marts
Strong programming skills in languages such as Python, R, or Scala as well as Java
Experience collaborating with cross-functional teams to define data standards, guidelines, and best practices
Knowledge of data governance, data security, and compliance standards.
Creative problem-solving skills and strong analytical abilities
Excellent communication skills with the ability to convey complex, technical information in an understandable manner
Ability to logically troubleshoot issues, determine root causes, and present suggested solutions clearly and concisely
Familiarity with data visualization tools (e.g., Tableau, Power BI), and data pipelines that incorporate them
Familiarity with AI capabilities across various LLMs and some experience in integration of Data Hub/Lake with AI tools.

The Data Architect will evaluate crucial aspects of data ecosystem, including:

Business Goals and Objectives
Data Requirements and Needs
Current Data Infrastructure
Data Sources and Integration Points
Data Quality and Integrity
Data Governance and Compliance
Security and Privacy Measures
Data Lifecycle Management
Metadata and Cataloging
Scalability and Performance
Data Architecture design and models
Regulatory and Industry Compliance

Additionally, they will:

Support the Senior Project Director and Implementation Leads with project plans, deliverables, and project artifacts
Support the Business Analysts and Implementation Leads with project plans, deliverables, and project artifacts
Maintain project library of project plans, deliverables, and project artifacts
Identify areas for project improvements and efficiencies
Prepare artifacts and presentations for governing bodies as defined in the Governance Management Plan