Data Engineering Manager, Analytics (Security)
Bellevue, WA | Menlo Park, CA | New York, NY
Meta
Giving people the power to build community and bring the world closer togetherThe perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies. The team’s mission is to “Protect the company, our community, and their data while empowering safe innovation”. As part of the team, you will help measure and address Meta’s largest security risks, mature the security products (e.g. vulnerability detection, IAM, asset management, threat detection, etc..), and help the company move faster.Data Engineering Manager, Analytics (Security) Responsibilities
- Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
- Define the processes needed to achieve operational success in all areas, including project management and system reliability.
- Build a high-quality BI and Data Warehousing team and design the team to scale.
- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
- 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.
- Manage the delivery of high impact dashboards and data visualizations.
- Define and manage SLA’s for all data sets and processes running in production.
- 8+ years of experience in BI and Data Warehousing.
- Experience scaling and managing 3+ person teams.
- 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.).
- BA/BS in Computer Science, Math, Physics, or other technical fields.
- Knowledge of threat modeling, vulnerability assessment, and penetration testing
- Understanding of cloud security architecture and compliance (e.g., AWS, Azure, GCP)
- Experience with security-focused data engineering tools and technologies
- Experience with enabling measurement in infrastructure heavy products
- Experience with data sets, Hadoop, and data visualization tools.
- Experience in a consumer web or mobile company.
- Advanced degree
$173,000/year to $242,000/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.
Tags: Architecture AWS Azure Computer Science Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering GCP Hadoop Java Mathematics Physics Pipelines Python Security SQL Testing VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus Startup environment
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