Data Engineering Lead, Analytics & Platform

Meta Careers; San Francisco (CA); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta seeks a Data Engineer, Analytics (Technical Leadership) to lead the data foundation across platforms, partnering with Data Scientists, PMs, and Engineers. You will own data architectures for large-scale projects, design data models and visualizations, and drive improvements to data pipelines and governance.

This role emphasizes cross-functional impact and mentoring. The position aligns with Meta's mission to scale data infrastructure for adjacent products and user experiences, while

Qualifications

• 12+ years of experience in the data warehouse space.
• 12+ years of experience in custom ETL design, implementation, and maintenance.
• 12+ years of experience with object-oriented programming languages.
• 12+ years of experience with schema design and dimensional data modeling.
• 12+ years of experience in authoring SQL statements.
• Experience analyzing data to identify deliverables, gaps and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.

Responsibilities

• Proactively drive the vision for data foundation and analytics across platforms.
• Conceptualize and own the data architecture for multiple large-scale projects.
• Design, build, and launch data models and visualizations for multiple domains.
• Optimize pipelines, dashboards, frameworks, and systems for faster development.
• Mentor team members and collaborate with product managers and software engineers.

Skills

SQL

ETL design

Object-oriented programming

Schema design

Dimensional data modeling

Data analysis

Tools

Python

MapReduce

MPP systems

Job description

Meta seeks a Data Engineer, Analytics (Technical Leadership) to lead the data foundation across platforms, partnering with Data Scientists, PMs, and Engineers. You will own data architectures for large-scale projects, design data models and visualizations, and drive improvements to data pipelines and governance.

This role emphasizes cross-functional impact and mentoring. The position aligns with Meta's mission to scale data infrastructure for adjacent products and user experiences, while