Lead Data Engineer

Job Title

Lead Data Engineer

The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate’s geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.

• Design and build a governed data warehouse architecture that unifies ticketing, loyalty, and F'B data into a single trusted source of truth.
• Own identity resolution end-to-end, including defining the entity framework, setting coverage standards, and expanding capabilities as new source systems are onboarded.
• Govern the Azure data environment, including monitoring, alerting, cost controls, and consolidation into a single reliable warehouse.
• Serve as the internal technical counterpart to the implementation partner by auditing the existing platform, evaluating architectural decisions, and driving toward full internal ownership.
• Translate complex data architecture decisions for non-technical business partners and collaborate with analytics and operations teams to deliver data products that drive business decisions.
• Mentor engineers and help build a culture of technical rigor while remaining hands‑on as a builder.

• 6–9 years of hands‑on data engineering experience designing and building production-grade systems.
• Academic background in a quantitative or technical field such as physics, mathematics, computer science, engineering, or a related field.
• Production-grade pipeline development experience in Python and advanced SQL, with strong attention to performance, observability, and maintainability.
• Production experience with dbt, including project structure, robust test coverage, and development of reliable transformation layers that support downstream reporting and analytics.
• Production experience with Airflow or equivalent tools, such as Dagster or Prefect, including DAG design, dependency management, and failure handling at scale.
• Deep cloud data warehouse experience;
  Azure preferred, with strong AWS or GCP experience transferable.
• Experience building or enforcing medallion architecture in a production environment.
• Experience inheriting or auditing an externally managed platform, including reviewing unfamiliar codebases and independently evaluating architectural decisions.
• Experience owning engineering standards, including code review, pipeline governance, and documentation practices.
• AI-native mindset, with experience using AI-assisted tools as a productivity multiplier.

Education:

Bachelor’s Degree.

Experience

Required:

6+ Years.

Employment Type:

On-site.

Company: OC Sports & Entertainment, LLC.

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws.