Lead Data Platform Engineer, Analytics

Meta; City of Albany (NY); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a Senior Data Engineer (Technical Leadership) to drive the data foundation and analytics strategy across platforms. You will design scalable data architectures, influence product decisions with data, and lead end-to-end analytics initiatives.

The role emphasizes collaboration with Product Managers, Data Scientists, and Software Engineers to deliver robust data solutions and governance across large-scale projects. Strong ETL, SQL, and OO programming experience are required.

Qualifications

• Bachelor's degree in CS or related field.
• 10+ years in data warehouse and ETL design.
• 10+ years in OO programming and SQL.
• Experience with data architecture and governance.
• Experience with MapReduce or MPP systems.
• Experience with Python and AI tools is preferred.

Responsibilities

• Drive the data foundation and analytics vision to accelerate cross-platform components.
• Own data architecture for large-scale projects, weighing design and cost tradeoffs.
• Develop frameworks to improve logging data and triage data issues.
• Partner with Data Scientists, PMs and Engineers to meet data needs.
• Define and manage SLA for all data sets under ownership.
• Design and launch sophisticated data models and visualizations for multiple domains.
• Optimize pipelines, dashboards, and frameworks to ease data artifact development.
• Mentor teammates through feedback and guidance.

Skills

Data engineering leadership

SQL

ETL design

Python

Data modeling

Big data

Analytics

Education

Bachelor's degree in Computer Science or related field

Tools

MapReduce

MPP systems

Job description

Meta is seeking a Senior Data Engineer (Technical Leadership) to drive the data foundation and analytics strategy across platforms. You will design scalable data architectures, influence product decisions with data, and lead end-to-end analytics initiatives.

The role emphasizes collaboration with Product Managers, Data Scientists, and Software Engineers to deliver robust data solutions and governance across large-scale projects. Strong ETL, SQL, and OO programming experience are required.