Cloud Data Platform Architect

Data Meaning•Orlando, FL

23h•Remote

About The Position

Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. We are seeking an experienced Cloud Data Platform Architect to advise clients and design scalable, modern cloud data platforms that enable enterprise reporting, analytics, and data integration. This role combines deep technical expertise in cloud architecture (AWS/Azure), data modeling, and data platform design with a consultative approach to client engagement, solution scoping, and long-term architectural planning. The ideal candidate will be comfortable bridging 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 (e.g., Snowflake, Databricks, or Google Cloud). The successful candidate will bring a strategic mindset, strong problem-solving skills, and the ability to guide stakeholders toward flexible, cost-effective, and high-performing data 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

Nice To Haves

Experience with cloud platforms (AWS, Azure), including readiness, provisioning, security, and governance preferred (but not required).

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.
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.
Plan with vision and foresight to provide high quality data
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.