Lead Data Engineer

Anaheim

Open 5 months, first seen by us 155 days ago

Pay: $140,000–180,000/year · BaseLocation-specific pay — pay source
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.
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Work setting: On-site — work setting source
Experience Required – 6+ Years This position is on-site. Company:
Read the full posting
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design and build a governed data warehouse unifying ticketing, loyalty and F&B data
Own identity resolution, including the entity framework and coverage standards
Govern the Azure data environment, including monitoring, alerting and cost controls
Audit the existing platform and drive toward full internal ownership with the implementation partner
Mentor engineers while remaining hands-on as a builder

From the employer’s posting

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

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

Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder

What you’ll bring

All qualifications

Core experience

6–9 years of hands-on data engineering experience designing and building production-grade systems
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
Knowledge, Skills, and Experience
Experience Required – 6+ Years

Qualification wording

6–9 years of hands-on data engineering experience designing and building production-grade systems

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

Knowledge, Skills, and Experience

Experience Required – 6+ Years

Apply at Anaheimducks

Posting record

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Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 3, 2026155 days ago
Recorded sightings: 77
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 155

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,032 similar postings that came down. Coming down is not always a hire.

Anaheimducks is hiring

1 open job

No new data jobs since June

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
Azure
dbt
GCP
Prefect
Airflow
Dagster

Where the posting names them

- 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

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

- 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

- 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

- 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

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

A great experience starts with you!

Join our team to help create and develop the future of live entertainment and sports in Orange County!

Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.

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.

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 Required – 6+ Years

This position is on-site.

Company:

OC Sports & Entertainment, LLC

Our Commitment:

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. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Thanks for your interest in becoming part of OCVIBE!

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