MicroStrategy BI Architect / Developer

Job Title: MicroStrategy BI Architect / Developer

Location: Reston, VA

Duration: 6+ Months

Key Responsibilities

End-to-End Delivery: Serve as a hybrid Architect and Developer, building complex, responsive data analytics dashboards entirely from scratch using MicroStrategy while guiding overall structural best practices.

AI Analytics Engineering: Leverage the latest cloud-native, generative AI-powered features of the MicroStrategy ecosystem to deliver modern analytics.

Data Strategy & Schema Design: Collaborate directly with Data Modeling and Enterprise Solution Architecture teams to establish robust access controls, map semantic graphs, and dictate data pipelines feeding MicroStrategy.

Mentorship & Leadership: Provide technical guidance to mid/senior developers and actively train and upskill junior-level team members.

Governance & Optimization: Manage cloud-hosted workspaces, monitoring user adoption, query performance, and infrastructure behaviors.

Required Skills

Required Experience & Technical Skills

8+ years of recent, hands-on, MicroStrategy Platform experience, including: Advanced Analytics Reports, Visual Insight Dashboards and Report Services Document creation.

Enterprise Scale: Proven experience working within a large-scale enterprise environment.

MicroStrategy Platform Mastery: Comprehensive, hands-on experience with MicroStrategy ONE (the cloud-powered platform) and its specialized suite:

MicroStrategy Mosaic (Studio & Sentinel) for semantic modeling, metadata oversight, and cloud cost/query governance.

MicroStrategy AI / "Auto" suite (Auto Answers, Auto Dashboard, Auto SQL) to deliver generative AI solutions.

MicroStrategy Cloud Environment (MCE) / MicroStrategy Cloud Platform (MCP) utilizing a cloud-managed server environment.

BI Tool Versatility: Strong background leveraging MicroStrategy as the core platform, balanced with hands-on experience utilizing secondary BI suites (e.g., Tableau or similar).

Data Programming: Strong proficiency in SQL and/or Python for data manipulation, analytics automation, and database scripting (experience with both is highly preferred).

Architectural Foundations: Full lifecycle experience setting up user access, building logical/physical schemas, and designing enterprise semantic layers.

Experience working with Transformations, Complex reports, Report Services Documents (Dashboards), Rolling Metrics, Nested Metrics, Relationship Filters, VLDB Properties (multi-pass sql, hints, etc)

Preferred Qualifications

Healthcare Payer Industry experience (highly preferred).

Demonstrated background or direct project exposure in Artificial Intelligence / Machine Learning (AI/ML) tracks.

Experience with Big Data environments (Hadoop, Spark, Cassandra, etc.)