Lead Data Engineer, Analytics Platform & Strategy

Meta; Boise (ID); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a data engineering leader to shape the data foundation and analytics across platforms, collaborating with product, data science, and software engineering to optimize growth and user experience. You will own data architecture for large-scale projects, drive governance, and build scalable data models and visualizations supporting multiple products.

The role requires a strong track record in data warehousing, ETL design, and SQL, with leadership experience guiding cross-functional

Qualifications

• Bachelor’s degree or equivalent in CS/Engineering or a technical field.
• 10+ years in data warehouse and ETL design.
• 10+ years in OO programming languages.
• 10+ years in SQL development and data modeling.
• Experience communicating data warehouse plans to internal clients.

Responsibilities

• Define data foundation and analytics architecture across platforms.
• Own data architecture for large-scale projects and evaluate design/ cost tradeoffs.
• Develop frameworks to improve data logging and triage issues.
• Lead cross-functional collaboration with DS, PM, and SWE to meet data needs.
• Define and manage SLAs for datasets and governance processes.

Skills

SQL

Data modeling

ETL design

OOP languages

Data warehousing

Leadership

Education

Bachelor's degree in CS/Engineering

Related technical field

Tools

MapReduce

MPP systems

Python

Job description

Meta is seeking a data engineering leader to shape the data foundation and analytics across platforms, collaborating with product, data science, and software engineering to optimize growth and user experience. You will own data architecture for large-scale projects, drive governance, and build scalable data models and visualizations supporting multiple products.

The role requires a strong track record in data warehousing, ETL design, and SQL, with leadership experience guiding cross-functional