Data Engineering Manager, Analytics (Instagram)
full-time•San Francisco, New York, Menlo Park•$177k - $247k
About this role
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.
$177,000/year to $247,000/year + bonus + equity + benefits
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
- 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
- Advanced Degree in Computer Science, Math, Physics, or other technical fields
- Experience in a consumer web or mobile company
- Experience with data sets, Hadoop, and data visualization tools
$177,000/year to $247,000/year + bonus + equity + benefits
What you'll do
- Drive the mission and strategy for Business Intelligence and Data Warehousing while building and leading a high-quality team. Develop relationships with stakeholders to understand data needs and manage data warehouse plans to ensure operational efficiency.
About Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
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Frequently Asked Questions
What does Meta pay for a Data Engineering Manager, Analytics (Instagram)?
Meta offers a competitive compensation package for the Data Engineering Manager, Analytics (Instagram) role. The salary range is USD 177k - 247k per year. Apply through Clera to learn more about the full compensation details.
What does a Data Engineering Manager, Analytics (Instagram) do at Meta?
As a Data Engineering Manager, Analytics (Instagram) at Meta, you will: drive the mission and strategy for Business Intelligence and Data Warehousing while building and leading a high-quality team. Develop relationships with stakeholders to understand data needs and manage data warehouse plans to ensure operational efficiency..
Is the Data Engineering Manager, Analytics (Instagram) position at Meta remote?
The Data Engineering Manager, Analytics (Instagram) position at Meta is based in San Francisco, United States and New York, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Data Engineering Manager, Analytics (Instagram) position at Meta?
You can apply for the Data Engineering Manager, Analytics (Instagram) position at Metadirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.