Data Architect

1 month ago

Atlanta, Georgia, United States I2USystems Inc Full time
Job Title: Sr. Data Architect

Job ID: 748151

Job Title: Sr. Data Architect

Location: Hybrid Atlanta GA

Duration: 8 Months

Client: State of GA GTRI

Job Purpose:

Design, implement, and manage the enterprise data management platform that supports Business Intelligence (BI) analytics and reporting needs across various Georgia Tech Research Institute (GTRI) business functions.

This position will also assess the current GTRI data inventories, including data sources, master reference data, data dictionaries, definitions, standards, and metadata management, including policies that define name structure and secure data sets.

Impact & Influence:

This position will interact on a consistent basis with the management and personnel within GTRI and other groups outside GTRI, such as external service providers and Georgia Tech (GT) campus units.

This position will also play an advisory role to the GTRI Enterprise Systems Department (ESD) Director in areas such as Data Governance best practices and data Stewardship processes.

Primary Job Responsibilities:
  1. Create and implement short-term and long-term data strategy roadmap to reflect GTRI strategic initiatives, comprising Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse).
  2. Create, maintain, and evolve data architecture blueprints and reference architecture for current, transitional, and future state.
  3. Design conceptual and logical data models and flowcharts that reflect a true and practical Enterprise Data Model and Architecture.
  4. Possess an innovative mindset that contributes to the experimentation and recommendation of industry latest tools and technologies for solving complicated enterprise-level data problems.
  5. Collaborate with the ESD ETL Datawarehouse and Reporting team to gather and store data from internal and external data sources, implement data quality measures, including data profiling and data quality rules management.
  6. Collaborate with multiple functions (security, legal, etc.) to establish standards and policies to ensure enterprise information sets are properly classified, secured, protected by appropriate access management and privacy controls (in-flight and at-rest).
  7. Manage information security, including information sensitivity analysis and management, access, and audit control systems, encryption, and other data protection techniques.
  8. Work with the ESD Database Administrators (DBAs) to optimize Oracle database systems for performance as required.
  9. Facilitate integration of Data visualization tools, such as Tableau and Cognos, that are widely used at GTRI to provide reporting and metrics requirements with Oracle database, IBM DataStage, and other data sources.
Qualifications:
  1. 10 years of experience architecting on-prem and cloud-based enterprise data solutions.
  2. Solid expertise in architecting and delivering end-to-end data solutions within an enterprise (Data Warehousing, analytics, BI, Big Data, Operational Data Store, etc.).
  3. Expertise in designing, building, and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
  4. Knowledge of data process modeling for an enterprise and business functions-specific data architecture (conceptual, logical, & physical) designed for scalability, consistency, integrity, and quality.
  5. Knowledge of data governance framework that establishes, develops an Enterprise Data Management (EDM) framework that aligns with the overall enterprise data governance policies.
  6. Knowledge of Data visualization tools, such as PowerBI, Tableau, and Cognos, analytics.
  7. Knowledge of technology platforms, such as MuleSoft, IBM DataStage.
  8. Knowledge of data management concepts, including structured, unstructured data, batch, real-time integrations.
  9. Knowledge of developing processes that contribute to the improvement of data models that feed business intelligence tools, facilitating increasing data accessibility and fostering data-driven decision-making across the organization.
  10. Solid knowledge of general data integration and conversion scripting, programming, workflow development.
Preferred Education:

Bachelor's/MS in Computer Science or related technology field. Relevant industry certifications are a plus.

U.S. Citizenship is required.

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