[Industry: Spectator Sports | Type: Full-time | Level: Mid-Senior level]
The Charlotte Hornets are seeking a technically capable and curious Solutions Architect to support the design, integration, and ongoing improvement of our data and analytics ecosystem.This role is ideal for a professional with hands-on experience in data systems, integrations, or analytics platforms who is ready to grow into a senior architecture role. You’ll work closely with BI leadership, analysts, and business stakeholders to help build scalable data solutions that support revenue growth, fan engagement, and operational decision-making.This is a high-impact role for a rising leader ready to help shape the future of sports analytics in Charlotte.Core ValuesThe Charlotte Hornets organization embodies the following core valuesIntegrityTeamworkCompetitivenessCandorAccountabilityResilienceEssential Duties And ResponsibilitiesData Architecture & Integration SupportSupport the design and implementation of data integrations across all Hornets’ platforms including ticketing, CRM, marketing, partnerships, and digital platforms.Build and maintain the Hornets’ enterprise source of truth, ensuring consistency and clarity across all internal and external metrics.Translate business requirements into technical solutions with guidance from senior BI leadership.Document data flows, schemas, and integration logic to improve transparency and maintainability.Technology & Platform EnablementHelp implement and support integrations between internal systems (CRM, ticketing, marketing platforms, mobile app, etc.) and the master data management platform.Participate in evaluations of new tools and vendors, providing technical input and implementation considerations.Assist with system migrations or enhancements, helping ensure data accuracy and continuity.Data Engineering & Analytics EnablementBuild, maintain, and monitor ETL/ELT pipelines under the guidance of senior team members.Ensure high availability, data quality, and proper transformation of structured and semi-structured data sources.Collaborate with business analysts and data visualization leads to deliver intuitive, actionable insights—not just raw data access.Troubleshoot data issues and proactively improve pipeline reliability and performance.Cloud Architecture & Infrastructure DevelopmentContribute to the operation and improvement of cloud-based data environments (e.g., Databricks, Azure, AWS, Redshift, Snowflake).Apply best practices around ...
