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Data Engineering Manager, Analytics (Reality Labs)
Data Engineering Manager, Analytics (Reality Labs)META • Burlingame, CA, United States
Data Engineering Manager, Analytics (Reality Labs)

Data Engineering Manager, Analytics (Reality Labs)

META • Burlingame, CA, United States
17 days ago
Job type
  • Full-time
Job description

Summary :

We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.

Required Skills :

Data Engineering Manager, Analytics (Reality Labs) Responsibilities :

Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical

Build and lead a high-quality BI and Data Warehousing team, designing it to scale

Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs

Manage data warehouse plans, drive data quality, and ensure operational efficiency

Design, build, and launch new data models and pipelines in production

Deliver high-impact dashboards and data visualizations

Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production

Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies

Minimum Qualifications :

Minimum Qualifications :

A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams

8+ years of experience in BI and Data Warehousing

Bachelor of Arts / Bachelor of Science in Computer Science, Math, Physics, or other technical fields

Experience initiating and completing BI, data warehousing and / or analytical projects with minimal guidance

Experience communicating results of analysis to executive leadership

Project management experience

Data architecture experience

Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)

2+ years of experience managing people with experience scaling and managing 3+ person teams

Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management

Preferred Qualifications :

Preferred Qualifications :

Experience with data sets, Hadoop, and data visualization tools

Advanced degree

Experience in analytics for a device / consumer electronics company

Public Compensation :

$173,000 / year to $242,000 / year + bonus + equity + benefits

Industry : Internet

Equal Opportunity :

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. 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 accommodations-ext@fb.com.

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Engineering Manager Data • Burlingame, CA, United States

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