Do you want to work for a Championship organization? We have the job for you! The Miami HEAT Strategy & Data Analytics team is seeking a Data Platform Support Engineer! This role will focus on providing expert support to clients who operate existing data platforms. In this role, you will ensure the stability, reliability, and optimal performance of client data environments by troubleshooting issues, resolving problems, and collaborating closely to address ongoing needs. Acting as a bridge between technical engineering and analytics, you will help clients maximize their use of the 601A data platform for analytics, reporting, and business intelligence, while maintaining high standards of data quality and accessibility. The role involves partnering with both internal teams and client stakeholders to align platform capabilities with evolving business requirements.

Essential Duties & Responsibilities

• Support clients in managing their 601A data platform, including databases, data warehouse, and integration processes using Microsoft Azure and Databricks.
• Oversee the Support ticketing platform (Zendesk) to monitor all support cases, regularly maintain and organize the ticket backlog, and ensure customer issues are addressed according to priority.
• Troubleshoot and resolve technical issues affecting the client data platform, ensuring minimal downtime and optimal performance.
• Maintain and improve data quality, integrity, and accessibility across client data sources.
• Serve as the primary technical contact for clients, addressing questions, providing guidance, and sharing best practices in data platform management.
• Collaborate with client analytics teams to understand platform needs and support data-driven decision-making.
• Support data flows, models, and pipelines as required to maintain client reporting and business intelligence capabilities.
• Provide ad-hoc data analysis and reporting support to help clients optimize performance and meet business objectives.
• Document solutions, processes, and recommendations clearly for both technical and non-technical stakeholders.
• Excellent communication skills for collaborating with clients and internal teams, both technical and non-technical.

Desired Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

• Hands-on experience supporting and troubleshooting existing data platforms and environments.
• Proficient in SQL, data modeling, and data integration; familiarity with BI tools such as Excel, Tableau, Power BI, etc.
• Proficient in Python, Databricks, and Snowflake
• Experience working with Microsoft Azure, AWS, or similar cloud-based data technologies.
• Demonstrated experience with ticketing platforms such as Ticketmaster, Seatgeek, AXS, and Tickets.com
• Strong analytical and problem-solving skills with a keen ability to translate client challenges into actionable solutions.
• Ability to adapt quickly to changing client needs and work effectively in a fast-paced environment.

Education and/or Experience

• Bachelor’s degree in information systems, computer science, statistics, mathematics, engineering, information technology, or a related field (advanced degree preferred).
• 3+ years of hands-on experience in data platform support, data engineering, or analytics roles.
• Experience providing technical support or consulting services to clients is a strong asset.

Certificates, Licenses, and/or Registrations

• Relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate, are preferred.
• Certifications in business intelligence/analytics tools or related technologies are a plus.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender/gender identity, age, disability, marital status, sexual orientation, pregnancy, genetic information, national origin, citizenship status, veteran status, and any other legally protected status entitled to protection under federal, state, or local anti-discrimination laws. EOE & DFWP.