Lead Data Engineer

## Lead Data Engineer Apply locations:
Anaheim time type:
Full time posted on:
Posted 5 Days Agojob requisition :
R-#
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** Mission:
** To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.
** Vision:
** We will be the social and entertainment center of Orange County – a place where the cultural kaleidoscope of the region converges and connects.  Our vibrant, rich collection of experiences will celebrate the diversity of our community.
** Values:
** Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold##

Job Title:

Lead Data Engineer
** Pay Details:
** 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.

The Lead Data Engineer is responsible for designing, building, and governing a reliable data warehouse architecture that unifies key business data across ticketing, loyalty, and F&B systems. This role owns critical data engineering standards, identity resolution, Azure environment governance, and production-grade pipeline development while partnering with business and technical stakeholders to deliver trusted data products that support analytics, operations, and decision-making.
** Responsibilities
* ** 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
** Qualifications
* ** 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
** Knowledge, Skills, and Experience
**** Education
- ** Bachelor's Degree
** Experience…