Data Architect
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Sr. Data Architect
Atlanta, GA 30318|Hybrid
12+ Months
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 dictionaries definitions, standards, and metadata management including policies that define, name, structure, and secure data assets.
Qualifications
10+ years' experience architecting on prem and cloud-based enterprise data solutions
Solid expertise 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 modelling 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, 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, IBM DataStage.
Knowledge of data management concepts that includes structured, unstructured data, batch, real-time integrations.
Knowledge of developing processes that contribute to the improvement of data models that feed business intelligence tools that facilitates increasing data accessibility and fostering data-driven decision making across the organization.
Solid knowledge of general data integration and conversion scripting, programming, workflow development.
Preferred Education
Bachelors/MS in Computer Science or related technology field.
Relevant Industry certifications are a plus
Skill | Required / Desired | Amount | of Experience | |||||
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, IBM DataStage | Required | 10 | Years |
Knowledge of Data visualization tools such as PowerBI, Tableau and Cognos Analytics, | Required | 10 | Years |