Cloud Data Platform Architect
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Job Description
Cloud Data Platform Architect at Data Meaning advising clients on scalable cloud data platforms. Seeking experienced candidates with expertise in cloud architecture, data modeling, and data governance.
Responsibilities:
- 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
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