| Looking for, Data Architect || Remote || Education background needed at Remote, Remote, USA |
| Email: [email protected] |
| From: Mayank, Pivotal Technologies [email protected] Reply to: [email protected] "Remote role || need education background must" Role : Data Architect Location: New York ( 100% remote) Visa: No H1/OPT Experience : 15+ years Education background needed In addition to extensive experience in the higher education sector, the Data Architect should have the following qualifications: Deep proficiency in data warehousing technologies and data integration pipelines using both ELT and ETL processes Experience with data modeling, including schema design, data models, data flow diagrams, data dictionaries and metadata repositories Experience designing and building complex data solutions using both SQL and non- SQL databases Experience with Application Programming Interface (API) for custom workflows, microservices, and integration Familiarity with Data Hub, Data Lakehouse, Data Fabric, and Data Mesh concepts and hybrid (on premises + cloud) data infrastructures Knowledge with data science, machine learning, and statistical analysis techniques to build predictive models, perform advanced analytics, and derive actionable insights from data Experience and knowledge building Data Catalogs and Data Marts Strong programming skills in languages such as Python, R, or Scala as well as Java Experience collaborating with cross-functional teams to define data standards, guidelines, and best practices Knowledge of data governance, data security, and compliance standards. Creative problem-solving skills and strong analytical abilities Excellent communication skills with the ability to convey complex, technical information in an understandable manner Ability to logically troubleshoot issues, determine root causes, and present suggested solutions clearly and concisely Familiarity with data visualization tools (e.g., Tableau, Power BI), and data pipelines that incorporate them Familiarity with AI capabilities across various LLMs and some experience in integration of Data Hub/Lake with AI tools. The Data Architect will evaluate crucial aspects of data ecosystem, including: Business Goals and Objectives Data Requirements and Needs Current Data Infrastructure Data Sources and Integration Points Data Quality and Integrity Data Governance and Compliance Security and Privacy Measures Data Lifecycle Management Metadata and Cataloging Scalability and Performance Data Architecture design and models Regulatory and Industry Compliance Additionally, they will: Support the Senior Project Director and Implementation Leads with project plans, deliverables, and project artifacts Support the Business Analysts and Implementation Leads with project plans, deliverables, and project artifacts Maintain project library of project plans, deliverables, and project artifacts Identify areas for project improvements and efficiencies Prepare artifacts and presentations for governing bodies as defined in the Governance Management Plan Thanks & Regards, Mayank Mer Technical Recruiter https://www.linkedin.com/in/mayank-mer-405972114/ Keywords: artificial intelligence business intelligence rlang |
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| Fri Nov 17 01:15:00 UTC 2023 |