Data Engineering Director

2 days ago

Menlo Park, California, United States META Full time
Job Summary:

We're seeking a seasoned Data Engineering Director to lead our team in building the data architecture that informs decisions and drives insight. As a key member of our Data Engineering team, you'll work closely with Product Managers, Data Scientists, Software Engineers, and ML Engineers to support our world-class AI Infra roadmap.

You'll be responsible for formulating and implementing the vision for the foundation of data and analytics to support the Infrastructure org and its goals. This includes driving technical and process innovation to increase the maturity and capability of the Infrastructure data engineering team and practices.

Key responsibilities include establishing processes for operational excellence in data fidelity, data privacy, system reliability, and enabling rapid experimentation and data-informed decisions. You'll also manage and grow a high-quality data engineering team, partner with cross-functional teams to understand data needs, and drive the design, building, and launching of new data models and data pipelines in production.

Additionally, you'll define and manage SLAs for all data sets and processes running in production, drive data quality across the product vertical, and manage the delivery of high-impact dashboards, data sets, and data visualizations.

As a Data Engineering Director, you'll contribute to improving data engineering competency across Facebook and have a solid understanding of how experimentation (A/B testing) works.

Requirements:

Requirements:
12+ years of experience in Analytics, BI, and Data Warehousing.

Experience scaling and managing 20+ person teams and in managing managers.

Experience leading in a highly cross-functional environment, likely collaborating closely with Engineering, Product Management, and/or Data Science

Communication and leadership experience, with experience initiating and driving large-scale strategic initiatives.

Data architecture experience.

Experience in SQL or similar languages.

Development experience in at least one object-oriented language (Python, Java, etc.).

Solid understanding of how experimentation (A/B testing) works

Preferred Qualifications:

Preferred Qualifications:
BA/BS in Computer Science, Math, Physics, or other technical fields

Experience with ML development lifecycle

Experience working on large-scale infrastructure

Experience with automating data auditing through comprehensive lineage tools.

Experience with large volume data sets, Hive/Presto, and data visualization tools.

Compensation:
$253,000/year to $314,000/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 accommodations-

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