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Solutions ArchitectNashville, TNRate: $120/hour 1099Contract Length: 12+ months Data Meaning?s client is looking for a Solutions Architect with a strong Azure background to join their team for a long-term engagement. Responsibilities:
Prepare client recommendations, proposals, and quotes; develop solution sets.
Develop, document, and communicate recommended plans for Azure Cloud data platform/infrastructure, including analysis of cost reduction opportunities.
Conduct research on emerging technologies in support of infrastructure development efforts, and recommend technologies that will increase cost effectiveness and infrastructure flexibility.
Develop objectives and strategies, and ensure all documentation is properly maintained and updated in a timely manner.
Experience with cloud platforms (AWS, Azure), including readiness, provisioning, security, and governance preferred (but not required)
Responsible for planning activities that define the information needs of the enterprise and designing the master data blueprints to meet those needs within the context of all enterprise data architecture and the connections with information systems, information technologies, and solutions.
Main objectives are:
Plan with visin and foresight to provide high quality data
Identify and define cmmon information requirements
Design cnceptual structures and plans to meet the current and long-term data requirements of the enterprise
Cordinate data governance activities promoting higher data consistency and improved data quality
Organize and cntribute to improved customer satisfaction and organizational effectiveness thru metrics and tangible and non- tangible factors.
Guide data design and development across systems for reporting, enterprise data integration, analytic and data warehousing initiatives
Provide guidance for activities related to Enterprise Data Governance and Data Stewardship committees.
Serve as a key stakeholder in Data Stewardship committee and provide direction for data cataloging, data modeling and other data workgroups.
Create and support a robust, flexible and sustainable data architecture
Assist in strategic evaluation of data warehouse tools, solutions, applications and frameworks
Data Quality and Governance
Contribute to the establishment of a Data Governance Practice. Participate in the creation of standards and processes that maintain the quality of data domains
Conduct discovery, perform root cause analysis, and make recommendations for the remediation of data quality issues
Design and recommend data policies and governance structures and control frameworks for the ongoing management of data
Define, maintain and report on data quality metrics
Qualifications:
Minimum of 10 plus years of experience in creating logical and physical data models; demonstrated experience with relational and star schema data modeling
Minimum of 3 plus years of experience with Azure Cloud implementation and architecture
Expertise using data modeling tools; excellent advanced SQL skills required
Superior business analysis and problem-solving skills
Knowledge of business intelligence best practice processes, tools, standards and practices
Strong analytical and conceptual design skills
Experience with big data, semi-structured data
Experience with BI tools and visual reporting platforms from an architecture standpoint
Familiarity working with one major cloud-based data and analytics platform implementation - AWS, Microsoft Azure, or Google Cloud
Demonstrated experience and success in facilitation and definition of reporting and analytics business requirements
Experience with/knowledge of canonical models and enterprise data architectural standards, with a long-term outlook
Education:
BS / BA in Computer Science, Business, Mathematics or Engineering
Preferred Skills & Experience:
Demonstrated competency in accurately identifying the scope of work and preparing thorough, accurate and detailed schedule estimates
Experience in migrating from on-premise enterprise data warehouse to cloud-based
Experience implementing a data lake
Experience with/involvement in data governance