Lead Data Engineering for AnalyticsMETA • United States

Lead Data Engineering for Analytics

Über

Summary: Are you passionate about data engineering and eager to shape the experiences of over a billion users? Join us as our Lead Data Engineering for Analytics and play a pivotal role in developing innovative data products. Collaborate with talented professionals to design robust data architectures that facilitate insightful analysis and drive strategic decisions. This is a unique opportunity to use cutting-edge technologies, with your efforts directly contributing to the growth of our company and enhancing user satisfaction. Required Skills: As the leader in Data Engineering for Analytics, you will be responsible for: Mission and Strategy:
Craft the vision for Business Intelligence (BI) and Data Warehousing, implementing actionable strategies.
Team Building:
Recruit and nurture a high-performing BI and Data Warehousing team.
Cross-Functional Collaboration:
Build strong partnerships with Data Scientists, Product Managers, and Software Engineers to meet data requirements effectively.
Data Warehouse Management:
Lead data warehouse initiatives to align with product vertical objectives.
Data Model and Pipeline Development:
Guide the design, development, and deployment of new data models and production pipelines.
Data Quality Assurance:
Uphold high standards of data quality throughout the product vertical.
Dashboard and Visualization Delivery:
Oversee the creation of impactful dashboards and data visualizations.
Service Level Agreements:
Establish and uphold SLAs for all production data sets and processes.
Data Infrastructure Expertise:
Display strong skill in data infrastructure with a proven track record in leading teams and managing projects.
Operational Efficiency:
Develop processes that enhance operational efficiency, including project management and system reliability.
Minimum Qualifications: The ideal candidate will possess: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
Demonstrated experience in project management.
Strong background in data architecture.
Proficiency in SQL or comparable programming languages.
At least 9 years in Business Intelligence and Data Warehousing.
A minimum of 2 years in a managerial capacity.
Exceptional communication and leadership skills, with a history of successfully driving projects.
Experience managing teams of 10 or more.
Development experience in an object-oriented programming language, such as Python or Java.
Preferred Qualifications: Preferred qualifications may include: Experience in consumer web or mobile sectors.
An advanced degree in Computer Science, Math, Physics, or other technical disciplines.
Familiarity with data sets, Hadoop, and data visualization tools.
Public Compensation: $210,000/year to $281,000/year + bonus + equity + benefits Industry:
Internet Equal Opportunity: We are proud to be an Equal Employment Opportunity and Affirmative Action employer, committed to providing equal opportunities for all individuals. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy and related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability, or any other legally protected characteristics. We also consider qualified applicants with criminal histories as allowed by law. Note that we may utilize artificial intelligence and machine learning in our hiring process. We are dedicated to providing reasonable accommodations for candidates with disabilities throughout our recruitment process. If you require assistance due to a disability, please contact us at accommodations-ext@meta.com.

United States

Sprachkenntnisse

English

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