Senior Analytics Data Engineer, Platform Leadership

Meta; Salem (OR); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a Data Engineer (Technical Leadership) to lead the data foundation and analytics strategy across platforms. You will define data architecture for large-scale projects, collaborate with Data Scientists and Engineers, and drive governance and security practices.

You will influence product decisions with data and mentor peers. The role emphasizes end-to-end analytics, scalable data models, and efficient data pipelines to support Meta's products and user experience.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 10+ years experience in data warehouse space.
• 10+ years experience in custom ETL design, implementation and maintenance.
• 10+ years experience with object-oriented programming languages.
• 10+ years experience with schema design and dimensional data modeling.
• 10+ years 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 to accelerate building cross-platform components.
• Own the data architecture for large-scale projects and evaluate cost-benefit tradeoffs.
• Create frameworks to improve data logging efficacy and triage issues.
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers.
• Define and manage SLA for all data sets in ownership areas.
• Determine and implement a security model based on privacy requirements and governance processes.
• Design, build, and launch data models and visualizations for multiple use cases.
• Solve data integration problems using ETL patterns and diverse data sources.
• Own production processes and optimize code with advanced algorithms.
• Optimize pipelines, dashboards, frameworks, and systems for easier development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities.
• Mentor team members with actionable feedback.

Skills

Data warehousing

ETL design

SQL

Data modeling

Object-oriented programming

Schema design

Data governance

Leadership

Analytics systems

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Python

MapReduce

MPP systems

Job description

Meta is seeking a Data Engineer (Technical Leadership) to lead the data foundation and analytics strategy across platforms. You will define data architecture for large-scale projects, collaborate with Data Scientists and Engineers, and drive governance and security practices.

You will influence product decisions with data and mentor peers. The role emphasizes end-to-end analytics, scalable data models, and efficient data pipelines to support Meta's products and user experience.