Job Details

ID #2700968
State Tennessee
City Nashville
Full-time
Salary USD TBD TBD
Source Data Meaning
Showed 2019-09-13
Date 2019-09-14
Deadline 2019-11-12
Category Et cetera
Create resume

Solutions Architect

Tennessee, Nashville 00000 Nashville USA

Vacancy expired!

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

Vacancy expired!

Subscribe Report job