Data Engineering Leader, Analytics

Meta; Bellevue (WA); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking an Data Engineering Leader in the Ads Infra area to oversee BI and Data Warehousing efforts. You will drive dashboards, data models, and pipelines, partner with data scientists, PMs and engineers, and set operational processes for reliability.

You’ll build a scalable BI team and manage data quality and SLAs across critical advertising datasets. The role emphasizes cross-functional leadership, strategic vision for data infrastructures, and delivering insights that power Meta’s

Qualifications

• Bachelor's degree in CS/CE or equivalent.
• 9+ years of BI and Data Warehousing experience.
• Experience leading 10+ person teams.
• Experience managing managers.
• Experience cross-functional communication with engineers and business stakeholders.
• Project management experience.
• Data architecture experience.
• Experience in SQL or similar languages.
• Experience in an OO language (Python, Java, etc.).

Responsibilities

• Manage delivery of high impact dashboards and data visualizations.
• Build cross-functional relationships with Data Scientists, PMs and Engineers.
• Define processes for operational excellence including project management and reliability.
• Drive BI and Data Warehousing vision across the product vertical.
• Build and scale a high-quality BI/Data Warehousing team.
• Manage data warehouse plans across a product area.
• Design, build, and launch new data models and pipelines in production.
• Ensure data quality across the product vertical.
• Define and manage SLAs for data sets and production processes.

Skills

Dashboard delivery

Cross-functional leadership

Operational excellence

BI & Data Warehousing vision

Team building

Data warehouse planning

Data models & pipelines

Data quality

SLA management

Education

Bachelor's degree in Computer Science / Computer Engineering / related field

Tools

SQL

Python/Java

Job description

Summary

Ads Infra is a critical part of Meta's business, responsible for building and maintaining the Serving and Data infrastructure that powers the company's advertising products. The mission is to ensure the reliability, scalability, and efficiency of the ads platform, which includes everything from data storage and processing to ML, inference, and algorithm development.Ads Ranking & AI Infrastructure org is responsible for delivering ads across all our placements (Facebook, Instagram, Messenger, WhatsApp, etc.). The team has consistently contributed the major part of overall Meta’s revenue growth over the years. At the same time, we have been the trailblazer for Meta’s most complex recommender system, e.g., delivering the first NN recommender model and landing the first large GPU powered recommender model.Together with the Infra + Ranking DS team, the Ads Online Infra DE team supports the ML Infra team with analytics solutions that ensure data and serving infrastructure remain highly reliable and any negatively impacting issues that arise are quickly identified and mitigated. We are responsible for the entire monetization's capacity management and reliability effort.The Ads Online Infra team is directly involved in Monetization, AI, and Capacity, key company priorities. The key product area we support is Monetization Capacity. End-to-end Monetization infrastructure capacity usage, supply and demand, and efficiency footprint across CPU, GPU, and Shared Platforms.

Required Skills

Data Engineering Leader, Analytics Responsibilities:

1. Manage the delivery of high impact dashboards and data visualizations
2. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
3. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
4. Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision
5. Build a high-quality BI and Data Warehousing team and design the team to scale
6. Manage data warehouse plans across a product vertical
7. Drive the design, building, and launching of new data models and data pipelines in production
8. Drive data quality across the product vertical and related business areas
9. Define and manage SLA's for all data sets and processes running in production

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. 9+ years of experience in BI and Data Warehousing
3. Experience scaling and managing 10+ person teams
4. Experience managing managers
5. Experience leading cross-functional initiatives and communicating technical strategy to engineering and business stakeholders
6. Project management experience
7. Data architecture experience
8. Experience in SQL or similar languages
9. Development experience in at least one object-oriented language (Python, Java, etc.)

Preferred Qualifications

1. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
2. Experience with data sets, Hadoop, and data visualization tools
3. Advanced degree
4. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
6. Experience in a consumer web or mobile company

Public Compensation

$210,000/year to $281,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].