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Data Engineering Manager, Analytics (Reality Labs)

Meta

Data Engineering Manager, Analytics (Reality Labs)

Meta logo

Meta

full-time

Posted: October 28, 2025

Number of Vacancies: 1

Job Description

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.

Locations

  • Burlingame, CA, USA

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 70,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Engineeringintermediate
  • Data Architectureintermediate
  • Collaborationintermediate
  • Leadershipintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Innovationintermediate

Required 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 Experience with data sets, Hadoop, and data visualization tools Advanced degree Experience in analytics for a device / consumer electronics company (experience, 4 years)

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

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Meta logo

Data Engineering Manager, Analytics (Reality Labs)

Meta

Data Engineering Manager, Analytics (Reality Labs)

Meta logo

Meta

full-time

Posted: October 28, 2025

Number of Vacancies: 1

Job Description

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.

Locations

  • Burlingame, CA, USA

Salary

Estimated Salary Rangemedium confidence

35,000,000 - 70,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Engineeringintermediate
  • Data Architectureintermediate
  • Collaborationintermediate
  • Leadershipintermediate
  • Communicationintermediate
  • Problem-Solvingintermediate
  • Innovationintermediate

Required 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 Experience with data sets, Hadoop, and data visualization tools Advanced degree Experience in analytics for a device / consumer electronics company (experience, 4 years)

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

Target Your Resume for "Data Engineering Manager, Analytics (Reality Labs)" , Meta

Get personalized recommendations to optimize your resume specifically for Data Engineering Manager, Analytics (Reality Labs). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineering Manager, Analytics (Reality Labs)" , Meta

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data & AnalyticsSocial VRData EngineeringEngineering

Related Jobs You May Like

No related jobs found at the moment.