Data Engineering Leader, Analytics (Instagram)

Menlo Park, CA | New York, NY | San Francisco, CA

Meta

Giving people the power to build community and bring the world closer together

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Instagram's mission is to inspire creativity that brings people together. Creators are at the heart of this mission: we succeed if Instagram is a creator's first choice for building their home and sharing their creativity. We’re recruiting for a Data Engineering leader for the Sharing organization to help accelerate this mission, focusing on Instagram's creation and creator experiences. This leader would have holistic responsibility for how public sharing occurs on Instagram. They would lead Data Engineering teams responsible for Instagram’s creation experiences across its permanent surfaces (i.e. Reels and Feed), as well as teams responsible for creator monetization, and tools Instagram builds to allow creators to learn how to grow such as Insights.Data Engineering Leader, Analytics (Instagram) Responsibilities
  • Manage the delivery of high impact dashboards and data visualizations.
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
  • Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
  • Build a high-quality BI and Data Warehousing team and design the team to scale.
  • Manage data warehouse plans across a product vertical.
  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Drive data quality across the product vertical and related business areas.
  • Define and manage SLA’s for all data sets and processes running in production.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 9+ years of experience in BI and Data Warehousing.
  • Experience scaling and managing 10+ person teams.
  • Experience managing managers.
  • Communication and leadership experience, with experience initiating and driving projects.
  • Project management experience.
  • Data architecture experience.
  • Experience in SQL or similar languages.
  • Development experience in at least one object-oriented language (Python, Java, etc.).
Preferred Qualifications
  • Experience in a consumer web or mobile company.
  • Experience with data sets, Hadoop, and data visualization tools.
  • Advanced degree.
For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$206,000/year to $281,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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Tags: Architecture Computer Science Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering Hadoop Java Physics Pipelines Python SQL VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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