Player 15 Group Senior Data Engineer

Organization : Player 15 Group

Position Title : Senior Data Engineer

Reports to : Senior Director Business Intelligence & Data Strategy

Location : Phoenix AZ

Search Contact : Prodigy Search

BACKGROUND

Player 15 Group the sports and entertainment company behind the Phoenix Suns (NBA) Phoenix Mercury (WNBA) Valley Suns (G League) and Mortgage Matchup Center is redefining the industry standard for how organizations engage fans partners and their communities. Headquartered in downtown Phoenix and reaching audiences around the world Player 15 Group is driven by possibility innovation and a relentless commitment to creating memorable moments on and off the court. The organizations culture is anchored in purpose-driven leadership and fueled by individuals who bring passion creativity and vision to everything they do. By challenging convention amplifying diverse voices and crafting experiences that resonate well beyond the final buzzer Player 15 Group is where talent meets purpose and bold ideas become reality.

SUMMARY

The Senior Data Engineer will be a key architect and builder of Player 15 Groups modern data ecosystem advancing the organizations data infrastructure and playing a critical role in shaping its long-term data strategy. This leader will design develop and maintain scalable data pipelines models and architectures that power reporting segmentation forecasting pricing and customer insights across ticketing marketing CRM and partnerships. Working closely with stakeholders across Business Intelligence Marketing Ticketing Partnerships and Finance the Senior Data Engineer will translate business needs into robust data engineering solutions. The ideal candidate has deep experience with cloud data warehouses modern data stack tools and customer data platforms and brings a strategic solutions-oriented mindset to building trustworthy high-performing data environments that support advanced analytics and business growth.

RESPONSIBILITIES

• Architect develop and maintain scalable data pipelines leveraging Redshift and other cloud data warehouse technologies to integrate and transform data across ticketing marketing CRM and related platforms.
• Design and maintain data models that power reporting segmentation forecasting pricing and other analytical use cases across the organization.
• Build and support Segment CDP as the core customer data source with a focus on identity resolution audience creation and data activation across marketing and sales channels.
• Apply well-established and modern hybrid data warehousing methodologies (e.g. Kimball Inmon dimensional modeling star / snowflake schemas) to design scalable consistent and business-aligned data structures.
• Establish and enforce standards for data quality governance and documentation across the warehouse integrating anomaly and integrity checks clear data lineage and well-defined business logic for all models and transformations.
• Develop and optimize ETL / ELT processes using tools such as dbt Airflow and related AWS services to ensure reliable timely and efficient data movement.
• Partner with Business Intelligence Marketing Ticketing Partnerships Finance and other stakeholders to understand business requirements and translate them into data engineering solutions and data products.
• Architect and optimize data pipelines that power business intelligence tools (e.g. Tableau Power BI Looker) ensuring scalable trusted and performant data flows from the warehouse into reporting and extract layers.
• Implement and maintain version control practices (e.g. Git / GitHub) and collaborative development workflows for data engineering projects.
• Monitor and optimize cloud data infrastructure for both cost and performance recommending and implementing improvements as needed.
• Support AI / ML and predictive analytics initiatives by enabling data access patterns pipelines and APIs / microservices that power fan 360 and advanced modeling efforts.
• Contribute to the strategy and execution of migrating workloads from on-premise virtual machines to cloud infrastructure ensuring stability and scalability throughout the transition.
• Define and track success metrics such as pipeline uptime data freshness and activation ROI using these insights to drive continual improvement.
• Ensure all pipelines models and data products align with data privacy and security regulations (e.g. CCPA and GDPR) and collaborate with IT leadership to meet cybersecurity standards.
• Continuously identify opportunities to enhance data infrastructure tooling and processes bringing forward recommendations that support organizational growth and innovation.

QUALIFICATIONS

CONTACT INFORMATION

Founded in 2007 Prodigy Search located in the New York City suburb of Freehold NJ boasts over 80 years of experience in the sports and entertainment business. As a renowned nationwide leader in senior-level executive search Prodigy Search has honed its business principles and expertise establishing itself as the largest boutique recruiting agency in North America. We recruit with integrity purpose and passion.

No phone calls please. For any additional questions please email .

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1