Senior Data Engineer, Analytics & Data Platform Lead

Meta; Denver (CO); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta in Denver is seeking a Technical Leader for the Data Engineering team to design and scale the data foundation that enables product teams and decision making across the company. You will own data architecture for large-scale projects and drive end-to-end analytics while mentoring engineers.

You will collaborate with data scientists, software engineers, and product managers, enforce privacy and governance, and craft data models and visualizations across multiple domains.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 10+ years in data warehouse space and in ETL design/maintenance.
• 10+ years in object-oriented programming and SQL.
• 10+ years in schema design and dimensional data modeling.
• Experience analyzing data to identify deliverables and gaps.
• Experience communicating data warehouse plans to internal clients.

Responsibilities

• Lead vision for data foundation and analytics across cross-platform components.
• Own data architecture for large-scale projects and evaluate design costs.
• Build frameworks to improve data logging and triage issues.
• Collaborate with Data Scientists, PMs, and Software Engineers to meet data needs.
• Define and manage SLAs for data sets; enforce privacy and governance.
• Design and launch data models and visualizations for multiple product domains.
• Solve complex data integration problems using ETL best practices.
• Mentor team members and influence cross-functional data decisions.

Skills

Data warehouse architecture

ETL design

Object-oriented programming

SQL

Data modeling

Data governance

Analytics pipelines

Leadership

Education

Bachelor's degree in CS/CE/related field

BS/BA in technical field

Tools

MapReduce

MPP systems

Python

Job description

Meta in Denver is seeking a Technical Leader for the Data Engineering team to design and scale the data foundation that enables product teams and decision making across the company. You will own data architecture for large-scale projects and drive end-to-end analytics while mentoring engineers.

You will collaborate with data scientists, software engineers, and product managers, enforce privacy and governance, and craft data models and visualizations across multiple domains.