| Enterprise Data Architect :: Remote at Enterprise, Utah, USA |
| Email: [email protected] |
| From: Sweety, Source InfoTech Inc [email protected] Reply to: [email protected] Hi, Hope you all are doing great, Please check the given below Job description, Position : Enterprise Data Architect Location : Remote Duration : 12 months C2C Visa : No H1B and CPT Linkdin is must Job Details Skills: Data Architecture Data Modeling SQL Server 10+ years hands-on experience as an Enterprise Data Architect. Demonstrable experience having led/participated in Data Architecture Strategy and Roadmap engagements. Hands on experience with data architecture, data models, physical database designs, data integration strategy and design for operational systems, systems integration, and analytical systems. Knowledge and experience in various types of data modeling techniques including 3rd normal form, Canonical modeling, Dimensional Modeling, and Data Vault modeling. Expanded experience with SQL Server (on-premises and on Azure), Azure and AWS platforms, NOSQL DBMS such as Mongo and Cosmos. Knowledge of AS400 platform and DB2/400 a big plus. Proficiency in SQL and data visualization tools such as Tableau, Power BI, or QlikView - Knowledge of data governance best practices, data quality standards, and data security protocols. Excellent verbal, written, and presentation communication skill. Collaboration and problem-solving skills. Certifications such as TOGAF or CDMP (Certified Data Management Professional) preferred but not required. EDUCATION AND CERTIFICATIONS Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Thanks, Sweety IT Recruiter Source InfoTech Inc., Voice: (609) 934-3545 Ext - 135 Email: [email protected] Disclaimer: If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line at [email protected] for automatic removal. And mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience Keywords: business intelligence information technology |
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| Wed Nov 15 20:20:00 UTC 2023 |