Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, seeking an experienced Cloud Data Platform Architect to advise clients and design scalable, modern cloud data platforms. The ideal candidate will bridge the gap between business needs and technical execution, with strong experience in data architecture, data governance and quality frameworks, and building sustainable solutions across modern data ecosystems.
Requirements
- Prepare client recommendations, proposals, and quotes
- Develop, document, and communicate recommended plans for Azure/AWS cloud data platform/infrastructure
- Conduct research on emerging technologies in support of infrastructure development efforts
- 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
- Responsible for planning activities that define the information needs of the enterprise and designing the master data blueprints to meet those needs
- Identify and define common information requirements
- Design conceptual structures and plans to meet the current and long-term data requirements of the enterprise
- Coordinate data governance activities promoting higher data consistency and improved data quality
- Organize and contribute 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
