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MicroStrategy Architect at Data Meaning. Location Information: USA. MicroStrategy Architect. Location:.  US, remote.  . Type of contract:.  temporary - TBD . About Data Meaning. At Data Meaning, we help organizations turn data into actionable insights by delivering world-class solutions in Business Intelligence, Data Governance, and Analytics. Our consultants work across industries and geographies, enabling businesses to achieve impactful results.. Role Overview. We are looking for an experienced . MicroStrategy Architect. to join our consulting team. The ideal candidate will lead the design, implementation, and optimization of enterprise-level BI solutions using MicroStrategy, ensuring scalability, usability, and performance across client environments.. Key Responsibilities. Design and implement enterprise BI solutions using . MicroStrategy. .. Define architecture standards, best practices, and security frameworks for BI platforms.. Collaborate with business stakeholders to understand requirements and translate them into scalable solutions.. Lead performance tuning, optimization, and administration of MicroStrategy environments.. Oversee migration, upgrades, and integration with other enterprise data systems.. Support pre-sales activities and provide subject matter expertise in client discussions.. Mentor and guide development teams on MicroStrategy design and implementation.. Required Qualifications. Proven experience as a . MicroStrategy Architect or Senior Developer. .. Deep knowledge of . MicroStrategy Server, Web, Mobile, and Developer. .. Strong understanding of schema objects, metadata design, and data modeling.. Experience with . dashboard/report development, security implementation, and performance tuning. .. Familiarity with . SQL, data warehousing concepts, and ETL processes. .. Excellent communication skills in English (written and spoken).. Ability to work in a client-facing consulting environment.. Nice to Have. MicroStrategy certifications.. Experience with cloud deployments (AWS, Azure, GCP).. Knowledge of complementary BI tools (Power BI, Tableau, etc.).