Summary:
Are you passionate about data engineering and its potential to influence the experiences of over 1 billion people? We are looking for a dynamic Data Engineering Lead to shape the future of our data products. As a vital part of our team, you will collaborate with cross-functional partners to design robust data architectures that empower insights, guiding decision-making and investments. This is your chance to work with top industry talent, leverage innovative technologies, and see your contributions directly driving company growth and enhancing user satisfaction.
Required Skills:
As a Data Engineering Leader for Analytics, you will be responsible for:
• Mission and Strategy: Steer the vision for Business Intelligence (BI) and Data Warehousing across a product vertical and implement actionable plans.
• Team Building: Recruit, nurture, and expand a high-performing BI and Data Warehousing team.
• Cross-Functional Collaboration: Forge strategic relationships with Data Scientists, Product Managers, and Software Engineers to meet data needs effectively.
• Data Warehouse Management: Oversee data warehouse initiatives ensuring they align with product vertical objectives.
• Data Model and Pipeline Development: Spearhead the design, development, and deployment of new data models and production pipelines.
• Data Quality Assurance: Commit to high data quality standards across the product vertical and its business areas.
• Dashboard and Visualization Delivery: Supervise the production of meaningful dashboards and data visualizations.
• Service Level Agreements: Define and uphold SLAs for all data sets and processes in production.
• Data Infrastructure Expertise: Demonstrate strong skills in data infrastructure and architecture, showcasing a successful track record in leading data engineering teams and managing projects.
• Operational Efficiency: Create processes aimed at achieving 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 relevant technical discipline.
• Proven project management experience.
• Solid background in data architecture.
• Proficiency in SQL or comparable languages.
• 9+ years of experience in Business Intelligence and Data Warehousing.
• At least 2 years of experience managing managerial roles.
• Strong communication and leadership skills, with a track record of initiating and driving projects.
• Experience in scaling and managing teams of 10 or more.
• Development experience with one object-oriented programming language (e.g., Python, Java).
Preferred Qualifications:
Preferred qualifications include:
• Experience in consumer web or mobile industries.
• Advanced degree in Computer Science, Math, Physics, or other technical fields.
• 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:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on 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 utilize artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities throughout our recruiting process. If you need assistance due to a disability, please contact us at accommodations-ext@meta.com.
