Enterprise Data Architect
Enterprise Data Architect
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title: Enterprise Data Architect
Location: Georgia Tech Research Institute (GTRI) Georgia Tech
The Enterprise Data Architect is responsible for designing implementing and managing the enterprise data management platform that supports Business Intelligence (BI) ytical and reporting needs across various business functions at Georgia Tech Research Institute (GTRI). This position will ess GTRIs current data inventories such as data sources master data reference data data dictionaries and metadata management. The role also involves defining policies that structure secure and manage data ets.
Impact & Influence:This position will regularly interact with GTRI management and personnel as well as external service providers and Georgia Tech (GT) campus units. As an advisor to the GTRI Enterprise Systems Department (ESD) Director the Enterprise Data Architect will play a key role in shaping data governance best practices and data stewardship processes across the organization.
Primary Responsibilities:-
Data Strategy Roadmap: Create and implement a shortterm and longterm data strategy roadmap aligned with GTRIs strategic initiatives including Enterprise Data Warehouse (EDW) Data Marts Operational Data Stores (ODS) Metadata Master Data and Big Data (e.g. Data Lake Data Lakehouse).
-
Data Architecture Design: Develop maintain and evolve the data architecture blueprint and reference architecture for the current transitional and future states of GTRIs data ecosystem.
-
Enterprise Data Model and Architecture: Design conceptual and logical data models and flowcharts that reflect a practical scalable and highquality enterprise data model.
-
Innovation in Data Technologies: Bring innovative solutions to solve complex data challenges by experimenting with and recommending the latest tools and technologies in the industry.
-
Data Quality & Integration: Collaborate with the ESD ETL Data Warehouse and Reporting teams to gather and store data from both internal and external sources implementing data quality measures including profiling and data quality rule management.
-
Data Governance & Security: Work with security legal and compliance teams to elish standards policies and procedures to ensure proper clification access management and security of data ets (inflight and at rest).
-
Information Security Management: Oversee information security processes including data sensitivity ysis access control systems audit systems encryption and other data protection techniques.
-
Database Performance Optimization: Collaborate with Database Administrators (DBAs) to optimize Oracle database systems for performance as needed.
-
Data Visualization Integration: Facilitate the integration of data visualization tools like Tableau and Cognos ytics with GTRIs data sources to enable reporting metrics and datadriven insights.
-
Experience:
- 10 years of experience in architecting both onpremise and cloudbased enterprise data solutions.
- Strong expertise in Data Warehousing Business Intelligence (BI) Big Data Metadata Management and Master Data solutions (onprem and cloud).
-
Core Expertise:
- Proven experience in designing building and managing Enterprise Data Warehouse (EDW) and BI platforms.
- Strong knowledge of data process modeling including conceptual logical and physical data architecture with a focus on scalability consistency and quality.
-
Data Governance and Framework:
- Expertise in elishing and developing an Enterprise Data Management (EDM) framework that aligns with organizational data governance policies.
-
Data Visualization:
- Experience with PowerBI Tableau and Cognos ytics for reporting and visualization.
-
Technology Platforms:
- Knowledge of MuleSoft IBM DataStage and other integration tools and platforms.
-
Data Integration Knowledge:
- Indepth understanding of structured and unstructured data batch and realtime integrations and data management principles.
-
Programming & Scripting Ss:
- Strong knowledge of data integration scripting programming and workflow development.
-
Education:
- Bachelors or Masters degree in Computer Science or a related technology field.
-
Certifications:
- Relevant industry certifications in data management cloud technologies or BI tools are a plus.
-
Citizenship:
- U.S. Citizenship is required for this position.
Employment Type
Full Time
