7-10 years in data engineering or analytics engineering, preferably at a senior level
Proven experience building and managing enterprise cloud data platforms (e.g., Snowflake, Azure, AWS)
Strong proficiency in SQL and Python, with hands-on ETL/ELT pipeline development
Experience integrating CRM and marketing automation platforms via APIs, Salesforce preferred
Demonstrated ability to implement data governance and quality frameworks
Familiarity with consumer-facing industries like sports or entertainment is a plus
Knowledge of CDPs, identity resolution, and operationalizing ML models is advantageous
Responsibilities
Own all data integrations across CRM, ticketing, and marketing systems
Design and build scalable data pipelines and an enterprise data lake
Lead identity resolution and master data management for unified fan insights
Power automated marketing journeys and lifecycle orchestration
Establish secure API connections with AI platforms and integrate insights back into systems
Set and enforce data governance and quality standards
Translate business needs into actionable data solutions
Benefits
Full ownership of the enterprise data foundation
Opportunity to shape the data platform from the ground up
Clear path to leadership as the function expands
Exposure to advanced marketing techniques and AI-enabled fan engagement
High visibility across multiple departments and with league-level partners
Work directly impacts fan experience and major initiatives
Competitive compensation and bonus eligibility
Full Job Description
THE TEAM YOU WILL BE JOINING
A fast-growing, privately owned sports and live entertainment organization in Charlotte that runs pro teams, major venues and a year-round calendar of events
You`ll sit in the business strategy and analytics group, the commercial side of the house, which drives revenue across ticketing, partnerships, food and beverage, and retail
You`ll report to the Director of Business Analytics, and work alongside the CRM and marketing analytics and ticket and revenue analytics functions
The team is moving away from relying on third-party data services and building its own internal data platform
Why now: this is a critical seat, and the organization is investing in data engineering, automation and AI as a core capability
There`s a plan to add 1-2 people under this role as the function grows
WHAT THEY OFFER YOU
Full ownership of the enterprise data foundation, as the go-to owner for integrations, infrastructure and automation
A real hand in shaping the platform from the ground up, not just maintaining something someone else built
A clear path to lead a team as the function scales
Exposure to 1:1 marketing, predictive analytics, recommendation engines and AI-enabled fan engagement
High visibility with Marketing, Ticketing, Partnerships, Technology, Finance and league-level data partners
Work that connects directly to the fan experience and to big initiatives like venue renovation and new fan technology
Competitive compensation and bonus eligibility
LOCATION
Charlotte, NC, onsite, with work at stadium events on some nights, weekends and holidays
WHY THIS ROLE IS IMPORTANT
Owns every data integration across CRM, ticketing, marketing automation, mobile app, web, loyalty and partnership systems
Designs and builds scalable batch and real-time pipelines, along with the enterprise data lake and a unified fan data environment
Leads identity resolution and master data management, so every fan touchpoint connects to a single view
Powers automated 1:1 marketing journeys, including campaign triggers, lead scoring, renewal intent models and lifecycle orchestration
Builds secure API connections between enterprise data and approved AI platforms, and routes AI insights back into CRM, ticketing and marketing systems
Sets and enforces data governance, quality, privacy and consent standards, and serves as the internal expert on data reliability
Turns business needs into practical solutions, from automating sales appointment routing to supporting next-best-action engines
Represents the organization in league-level working groups on data standards and integrations
THE BACKGROUND THAT FITS
7-10 years in data engineering or analytics engineering, ideally at a senior or lead level
A track record of building and owning enterprise cloud data platforms (Snowflake, Azure, AWS or similar)
Strong SQL and Python, plus production ETL/ELT pipeline development and data modeling
Experience integrating CRM (Salesforce a plus), marketing automation and digital platforms through APIs
Hands-on experience putting data governance and quality frameworks in place
A plus: sports, entertainment, media or other consumer-facing industries (not required)
A plus: CDPs, identity resolution, real-time streaming and operationalizing ML models
You have the confidence and foresight to move an organization off third-party tools and onto its own platform, and you`re happy to get hands-on with ingestion when something breaks
