Senior Data Engineer - Privacy & Governance

Job Description

SUMMARY The Senior Data Engineer will join our small high leverage data team building the data and intelligence platform for Pacers Sports \& Entertainment PS\&E This is a modern full stack data \& analytics engineering role spanning data modeling pipeline development and the user facing applications that put data in front of decision makers The role works across the entire surface from raw ingestion through governed consumption layers and into the products that stakeholders actively use AI assisted development is core to how our team operates not a side experiment The successful candidate will contribute to a team culture where engineers move fluidly across the full data and application stack and leverage modern tooling to punch above their weight This role carries a privacy and governance specialty The successful candidate will own the PII classification model access controls and the technical systems that enforce how fan data is protected across the platform upstream sources and downstream activation partners This is not a policy or compliance role; it is an engineering role that happens to specialize in privacy ESSENTIAL DUTIES RESPONSIBILITIES Design and maintain the enterprise PII classification model and the data catalog that maps where consumer data lives across sources pipelines and consumption layersImplement Unity Catalog access controls including column masking permission tiers and the governance model that scales as the team and consumer base growDesign and implement consent infrastructure including how opt in and opt out propagates from OneTrust through CRM Marketing Cloud and out to identity resolution and ad activation partnersBuild and maintain privacy request execution flows that satisfy state level regulations including CCPA CPRA and the broader patchwork of US privacy lawDocument and audit vendor data flows including identity resolution and downstream activation partnersBuild and maintain pipelines that move data from source systems through the medallion architecture in Databricks including ingestion transformation and curationPartner with stakeholders across the business to translate their questions and needs into well modeled well documented production grade data productsDevelop frontend or modern BI components for internal data products and analytics applications delivered by the teamParticipate in code review testing and engineering standards alongside the rest of the teamLeverage AI assisted coding tools to ship higher quality work faster across the full stackParticipate in a shared on call rotation for production data systems responding to incidents and contributing to postmortems and reliability improvementsIn every position each employee is expected to align with PS\&Es mission and core values along while actively participating in company sponsored community outreach programsOther duties as assigned QUALIFICATION REQUIREMENTS To perform this job successfully an individual must be able to perform each duty satisfactorily The requirements listed above are representative of the knowledge skill andor ability required Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions EDUCATION andor EXPERIENCE Bachelors degree in Computer Science Engineering Mathematics or a related field or equivalent practical experienceFive or more years building data systems in production environmentsProduction experience in the consumption layer through either frontend web development React Nextjs or similar or Analytics tools Tableau Power BI Looker Hex or comparableWorking knowledge of state national and international privacy regulations CCPA CPRA GDPR etc and the technical patterns that satisfy them approached from an engineering perspective rather than a legal oneExperience with consent management platforms such as OneTrust identity resolution architectures and the practical realities of vendor data flows in marketing and advertising technology SKILLS Strong Python and SQL with hands on cloud lakehouse experience; Databricks preferredProduction experience with dbt for transformation and modeling and Airflow or comparable orchestration frameworksFamiliarity with agentic AI patterns and production experience using AI coding assistants such as Claude Code Cursor or similar toolsComfort moving across the stack building a pipeline modeling a domain writing a Python service and standing up a simple web interface independentlyWorking knowledge of Azure cloud services version control with Git and CICD patternsTranslating ambiguous business requirements into concrete engineering decisions balancing quality stakeholder needs and delivery speedMaking architectural and modeling decisions independently while knowing when to consult the teamDebugging issues across the full stack from raw source data through transformation logic into user facing productsInvestigating root causes rather than symptoms with a bias toward shipping working software over perfect specifications PHYSICAL AND ENVIRONMENTAL DEMANDS The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions While performing the duties of this job the employee is regularly required to sit stand walk move heavy objects use a computer use a 10 key calculator use a telephone speak hear and write While performing the duties of this job the noise level in the office work environment is usually moderate and the noise level in Gainbridge Fieldhouse game environment is usually loud The stress level may become high during certain times of the year We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation age gender identity marital status disability status protected veteran status or any other characteristic protected by law