Enterprise Data Architect
Compensation: $95,630.00 - $149,340.00 /year *
Employment Type: Full-Time
Industry: Information Technology
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Job Description Provide leadership, mentorship and advisory services to architecture and project teams to ensure that solutions are in line with the architecture direction and business strategies In close cooperation with business, identify and conduct digital business transformation activities, conduct necessary POCs Conduct definition of digital strategies Influence and provide input in the future direction for enterprise architecture program make key technology decisions and recommendations for the program with global and regional alignment Maintain architecture governance processes participate in ARB reviews from EA domain Define and document architecture and technology standards reference architectures and solution architectures constraints, and guidelines Maintain an enterprise architecture framework Conduct application portfolio rationalization Identify potentials and initiate legacy modernization activities Improve technology innovation approach, provide new technology planning activities AcademicExperienceCompetency Strong leadership, with the ability to drive digital business transformation initiatives to a full adoption by multiple teams Excellent customer skills in resolving concerns and issues Excellent written and verbal communication skills experience in documenting architecture and design ability to develop and communicate technical concepts Proven experience in successful digital business transformation Proven experience in successful strategy definition Hands-on experience with business requirements gatheringanalysis Ability to present ideas in business-savvy format Ability to prioritize and execute tasks in a high-pressure environment Exceptional analytical, conceptual, and problem-solving abilities Experience working in a team-oriented, collaborative environment In-depth technical knowledge of AWS, Azure, or GCP cloud architectures and its components for transactional and analytical applications Working technical knowledge of microservices and containers architecture, API management, ESB, DevOps, search, Big Data and analytical platforms Working technical knowledge of current systems software, protocols, and standards Hands-on experience with cognitive technologies and algorithms (AI, NLP, text analytics, graph), ability to drive and conduct POC Working technical knowledge of Salesforce applications and technologies Wants Hands-on experience with application development - Java or .NET Good knowledge of applicable data privacy and security practices Experience with a Big Data architecture and infrastructure (Spark, Graph, etc.) Understanding of Mobile Development environments (Responsive and Adaptive Design) Experience with Graph technologies (such as Datastax DSE Graph, TitanDB, Tinkerpop, Gremlin) Strong understanding of Graph representation (RDF, LPG) and Ontologies Experience with any one NLP technologies such as Google s SyntaxNet, Apache OpenNLP, NLTK, Stanford NLP Experience with indexing and building applications using Solr Unique Skill Sets Desired Enterprise multi-platform expertise, strategy definition, strategy and capability maps, digital business transformation, foundation of business architecture, great communications skills, business acumen, architecture team leadership, architecture governancePandoLogic. Category: Technology, Keywords: Data Architect
Associated topics: data analyst, data analytic, data integration, data integrity, data manager, data quality, data warehouse, hbase, sql, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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