Job Description
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Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners.
Summary We are looking for an experienced Vice President of Data Engineering to lead across the Instagram and Threads apps - two of the most influential and relevant consumer apps in the world. In this role, you will work closely with leads across Data Science, Product Management, Software Engineering, and User Research to build the vital data infrastructure and visualizations that enable the organization to identify and build products that impact the everyday experience of billions of people. You’ll also partner with teams all across Meta as you build data solutions that are depended on by many different organizations.If you are energized by the goal of giving people the power to build community and bring the world closer together and have a passion for helping others, this role is for you. We operate in a fast-paced, challenging, and fun environment! We work together as one team to deliver on our commitments. We challenge the status quo every day, internally and externally.
Required Skills VP Data Engineering, Instagram & Threads Responsibilities:
- Formulate and implement the vision for a trusted data analytics platform supporting product development across the Threads and Instagram networks.
- Manage and grow a high performing data engineering team of roughly 200+ full-time employees.
- Establish the processes needed to achieve operational excellence in data fidelity, data privacy, system reliability, and enabling rapid experimentation and data-informed decisions.
- Partner with cross-functional teams of Data Scientists, Software Engineers, Product Managers, Researchers, and other partner groups to understand their data needs and deliver on them.
- Drive the design, building, and launching of new data models and data pipelines in production.
- Define and manage SLA's for all data sets and processes running in production.
- Drive data quality across the product vertical and related business areas.
- Manage the delivery of high-impact dashboards, data sets, and data visualizations.
- Contribute to improving data engineering competency across Meta.
Minimum Qualifications Minimum Qualifications:
- 15+ years of experience in Analytics, BI, or Data Warehousing.
- Experience scaling and managing 100+ (FTE) person teams and managing managers.
- Experience working collaboratively with Engineering, Product Management, and Data Science/Product Analytics.
- Experience initiating and driving large scale strategic initiatives.
- Experience managing and communicating data warehouse plans to internal clients.
- Experience implementing data governance plans.
- Experience in SQL or similar languages.
- Development experience in at least one object-oriented language (Python, Java, C, C++ etc.).
Preferred Qualifications Preferred Qualifications:
- Data architecture experience.
- Experience implementing privacy aware data foundations and solutions.
- Experience in a consumer web or mobile company.
Public Compensation $error/year to $487,000/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.
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
[email protected].
If you have questions about this posting, please contact
[email protected] Seniority level
Seniority level
Executive
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology Industries
IT Services and IT Consulting
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