Data Engineering Manager, Analytics (Monetization)

Facebook; New York (NY); On-site; USD 173,000 - 242,000; Full time

Job summary

An established industry player is seeking a Data Engineering Manager to lead a dynamic team focused on Business Intelligence and Data Warehousing. This role offers the chance to work with one of the richest data sets globally, driving insights that impact over a billion users daily. You will collaborate closely with Product Managers, Data Scientists, and Software Engineers to design and implement data models and pipelines that enhance product launches. If you're passionate about data architecture and team leadership, this opportunity is perfect for you to make a significant impact in a forward-thinking environment.

Benefits

Bonus

Equity

Benefits

Qualifications

• 8+ years of experience in BI and Data Warehousing required.
• 2+ years of experience managing teams and projects.
• Strong communication and leadership skills are essential.

Responsibilities

• Drive the vision for Business Intelligence and Data Warehousing.
• Build and manage a high-quality BI and Data Warehousing team.
• Deliver high impact dashboards and data visualizations.

Skills

Business Intelligence

Data Warehousing

Team Management

Project Management

Communication Skills

Data Architecture

SQL

Python

Java

Education

BA/BS in Computer Science

BA/BS in Math

BA/BS in Physics

Tools

Hadoop

Data Visualization Tools

Job description

Summary:

Do you want to use data to help drive the direction of products that impact the lives of over 1 billion people every day? If yes, we want to talk to you. 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, you'll view a direct link between your work, company growth, and user satisfaction. You'll 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 (Monetization) Responsibilities:

1. Proactively drive the vision for Business Intelligence and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
2. Build a high-quality BI and Data Warehousing team and design the team to scale.
3. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
4. Manage data warehouse plans across a product vertical.
5. Drive the design, building, and launching of new data models and data pipelines in production.
6. Drive data quality across the product vertical and related business areas.
7. Manage the delivery of high impact dashboards and data visualizations.
8. Define and manage Service Level Agreement for all data sets and processes running in production.

Minimum Qualifications:

1. 8+ years of experience in BI and Data Warehousing.
2. 2+ years of experience managing people.
3. Experience scaling and managing 3+ person teams.
4. Communication and leadership experience, with experience initiating and driving projects.
5. Project management experience.
6. Data architecture experience.
7. Experience in SQL or similar languages.
8. Development experience in at least one object-oriented language (Python, Java, etc.).
9. BA/BS in Computer Science, Math, Physics, or other technical fields.

Preferred Qualifications:

1. Experience in a consumer web or mobile company.
2. Experience with data sets, Hadoop, and data visualization tools.
3. Advanced degree.

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 [e-mail].