Sr. Data Engineer

Phoenix Suns•Phoenix, AZ

31d

About The Position

Player 15 Group - the sports & entertainment company behind the Phoenix Suns (NBA), Phoenix Mercury (WNBA), Valley Suns (G League), and Mortgage Matchup Center - is redefining the industry standard. Headquartered in downtown Phoenix and engaging fans across the world, Player 15 Group is driven by possibility, innovation, and the desire to create memorable moments for our fans and community. Our culture is anchored in purpose-driven leadership and fueled by individuals who bring passion, creativity, and vision to everything they do. We challenge convention, amplify voices, and create experiences that resonate well beyond the final buzzer. This is where talent meets purpose and bold ideas become reality. We are seeking an experienced and motivated Sr. Data Engineer to join our team. In this high-impact role, you will be responsible for advancing the data infrastructure while playing a critical role in shaping the department's long-term data strategy.

Requirements

Proven track record in data engineering with expertise in Redshift (or other cloud data warehouses such as Snowflake, Azure, etc.).
Hands-on expertise with SQL, Python, and ETL/ELT tools.
Experience with Customer Data Platforms (Segment, StellarAlgo, KORE Helix, Agilitek Fan Data Platform, etc.) including implementation, integration, and downstream activation.
Expertise with modern data stack tools (DBT, Airflow, AWS services, etc.) and best practices for data orchestration.
Experience architecting and optimizing data pipelines for business intelligence tools (Tableau, Power BI, Looker), ensuring scalable and trusted data flows from DWA into reporting layers and extracts.
Proficiency with version control (Git/GitHub) and collaborative development practices.
Experience optimizing cloud data infrastructure for both cost and performance.
Familiarity with AI/ML pipelines and API/microservices integration to enable predictive analytics and fan 360 initiatives.
Experience optimizing on-premise virtual machine usage and shaping the strategy for migrating workloads to cloud infrastructure.
Previous experience defining success metrics such as pipeline uptime, data freshness, and activation ROI.
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience).
5+ years of data engineering experience with a strong focus on cloud data warehouses.
Proven ability to design, build, and maintain scalable pipelines and models that support enterprise analytics and BI.
Awareness of data privacy, security, and compliance considerations in warehouse and pipeline design.

Nice To Haves

Previous experience within Sports ecosystem is preferred.

Responsibilities

Architect, develop, and maintain data pipelines, leveraging Redshift to integrate and transform data across Ticketing, Marketing, and CRM platforms.
Design and maintain data models that power reporting, segmentation, forecasting, pricing, etc.
Build and support Segment CDP as the core customer data source, focusing on identity resolution 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 a consistent approach to data quality, governance, and documentation across the warehouse - integrating anomaly and integrity checks, clear lineage, and well-defined business logic for all models and transformations.
Partner with cross-functional stakeholders (Business Intelligence, Marketing, Ticketing, Partnerships, Finance, etc.) to understand business needs and translate them into data engineering solutions.
Contribute to long-term architecture decisions, ensuring that our data ecosystem evolves thoughtfully to support organizational growth.
Continuously identify opportunities to improve our data infrastructure and practices.
Ensure all pipelines and models align with data privacy and security regulations (for example, CCPA and GDPR) and collaborate with IT leadership to meet cybersecurity standards.