Experience Required/Mandatory Skills |
- Experience working as a Data Architect (or equivalent) in a large and complex organization. This includes but is not limited to providing conceptual and logical designs such as data models and data flow diagrams. (5+ years)
- Conceptual/architect experience with artificial intelligence (AI) and machine learning (ML) practices, tools, techniques, and approaches. While hands-on is preferred, at least conceptual experience is required. (1+ year)
- Experience with Government or Corporate architectures, and all associated best practices, methods, standards, tools, policies, and processes. (1+ year)
- Experience with business intelligence and data visualization tools, and other technologies, such as SAS Visual Analytics, MS PowerBI, Cognos, Tableau, etc. (6+ months)
- Experience with big data platforms, stacks, and infrastructure. While hands-on is preferred, at least conceptual understanding is required. (6+ months)
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Nice To Have Skills |
- Experience working as a Data Architect (or equivalent) in a large and complex organization. This includes but is not limited to providing conceptual and logical data architecture services such as developing data models and data flow diagrams. (2+ years)
- Experience with Government or Corporate architectures, and all associated best practices, methods, standards, tools, policies, and processes. (2+ years)
- Formal knowledge and experience with enterprise architecture frameworks (e.g. The Open Group Architecture Framework (TOGAF), Gartner, and/or Zachman). (1+ year)
- Conceptual/architect experience with artificial intelligence (AI) and machine learning (ML) practices, tools, techniques, and approaches (1+ year)
- Experience with one or more artificial intelligence (AI) and machine learning (ML) solutions, such as such as TensorFlow, IBM Watson, MS Azure, SAS VDMML, etc. (1+ year)
- Experience with big data platforms, stacks, infrastructure, such as Cloudera. (6+ months)
- Hands-on experience with business intelligence and data visualization tools, and other technologies, such as SAS Visual Analytics, MS PowerBI, Cognos, Tableau, etc. 2 years
- Experience as an administrator of SAS Visual Analytics on Viya. (6+ months)
- Experience in one or more of Python, R, SQL. (1+ year)
- Experience in one or more other architecture domains, e.g. enterprise, business, application, technology, security, solution, etc. (2+ years)
- Experience with machine learning techniques such as Neural Networks, Random Forest, etc. (1+ year)
- Experience with natural language processing, machine translation, language detection, etc. (1+ year)
- Experience with computer vision, object recognition/tracking, OCR recognition, etc. (1+ year)
- Experience with speech to text, text to speech, audio processing, text analytics, etc. (1+ year)
- Experience with integration of architecture disciplines such as hybrid cloud, APIs, streaming technologies, event-driven systems, self-service data platforms and analytics/Machine Learning/Artificial Intelligence. (1+ year)
- Experience designing and implementing enterprise database solutions. (2+ years)
- Experience designing and implementing ETL processes and data models that help align an organization's data, information, and technology with its required business capabilities in a large enterprise environment. (2+ years)
- Experience with design and/or hand-on implementation of cloud computing solutions. (1+ year)
- Experience in writing and maintaining Enterprise Architecture standards and guidelines. (1+ year)
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