Prepare client recommendations, proposals, and quotes; develop solution sets.
Develop, document, and communicate recommended plans for Azure/AWS 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.
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.
Requirements
Minimum of 10+ years of experience creating logical and physical data models; demonstrated experience with relational and star schema data modeling
Minimum of 3+ years of experience with Azure and/or AWS cloud implementation and architecture
Expertise with database architecture
Expertise with Google Cloud or Databricks or Snowflake
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 long-term outlook
Experience in migrating from on-premise enterprise data warehouse to cloud-based
Experience implementing a data lake
BS / BA in Computer Science, Business, Mathematics or Engineering