Senior Data Architect - Data Warehousing, Business Analytics, Business Intelligence, Big Data, Operational Data Store, Metadata, Master Data

JOB PURPOSE:
Design, implement, and manage the enterprise data management platform that supports Business Intelligence (BI), analytical, and reporting needs across various Georgia Tech Research Institute (GTRI) business functions. This position will also assess the current GTRI data inventories such as data sources, master, reference data, data dictionary definitions, standards, and metadata management including policies that define, name, structure, and secure data assets.

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

• Bachelors/MS in Computer Science or related technology field.
• Relevant Industry certifications are a plus
• Experience architecting on-prem and cloud-based enterprise data solutions - Required 10 Years
• Architecting and delivering end-to-end data solutions within an enterprise (Data Warehousing, Analytics, BI, Big Data, Operational Data Store, etc. - Required 10 Years
• Expertise in designing, building, and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms - Required 10 Years
• Knowledge of technology platforms such as MuleSoft, and IBM DataStage - Required 10 Years
• Knowledge of Data visualization tools such as PowerBI, Tableau, and Cognos Analytics - Required 10 Years