Data Solution Architect

MicroStrategy - Charlotte, NC

Full-time - Mid Level

Charlotte, NC

Professional, Scientific, and Technical Services

About the position

The Solutions Data Architect is responsible for creating, articulating, and maintaining the solution data architecture for enterprise-wide data projects. This role involves working on dynamic projects across the organization to architect modern, scalable, and innovative data-driven solutions that enable insights and capabilities to drive business strategy. The architect collaborates closely with data engineering, product, and engineering partners to build an enterprise data architecture that supports business needs.

Responsibilities

• Partner with product resources to execute on the design of data architecture to support business and product requirements
• Collaborate with platform and application architecture leads to create data architecture and enhance overall project design
• Maintain and enhance data architecture as requirements and product enhancements are delivered in an agile fashion
• Design and architect data solutions for data availability, reliability, integrity, and security
• Architect data solutions with a cost-effective cloud-first design
• Build data architecture integrations that work with Google Cloud Platform services, data flow, BigQuery, and GCS
• Integrate new data requests with existing data models to enhance the BI and semantic layers of data
• Become an expert in data platform and methods of data ingestion and delivery to enable the build-out of repeatable data architecture design processes for broader data engineering teams
• Build strong relationships with strategic software and platform vendors and service providers
• Deliver tasks in an agile environment
• Foster the culture in the department and throughout the company to ensure fulfillment of organizational vision and unity of purpose
• Participate in special projects and perform additional duties as required

Requirements

• Bachelor's degree in computer science, information systems, or a related field (equivalent experience may be considered in lieu of degree)
• 6 years in an enterprise data architect position, designing enterprise and data solutions
• 5 years in software or data engineering, technical architecture, or related fields
• Proven experience in designing data architecture to support enterprise applications
• Proven experience architecting and developing data cloud solutions, preferably in Google Cloud Platform
• Comprehensive experience in data modeling, data management, and data integration
• Experience working with data engineering teams to deliver on data architecture design
• Experience using Agile methodology to deliver on technical projects
• Working knowledge in multiple data management capabilities including Cloud Data Warehousing (e.g., Google BigQuery, Snowflake)
• Experience with Data Integration tools (e.g., Fivetran, Qlik, Informatica, SAP SLT)
• Experience with streaming platforms (e.g., Dataflow, Kafka, Kinesis) to EDW
• AI or GenAI experience is a plus
• Experience with Customer Data Platforms preferred

Nice-to-haves

• AI or GenAI experience
• Experience with Customer Data Platforms