Senior Data Platform Engineer, Analytics & Leadership

Meta; Hartford (CT); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a technical leader for the Data Engineering team to guide data foundation and analytics across major products. You will drive end-to-end analytics, design scalable data models, and collaborate with product managers, data scientists, and software engineers to enable informed decision making.

The role emphasizes leadership, governance, and building data solutions that scale with Meta’s growth and user base in a globally distributed environment.

Qualifications

• Bachelor's degree in CS or related field or equivalent experience.
• 10+ years in data warehouse or analytics space.
• 10+ years in custom ETL design and maintenance.
• 10+ years with OO programming languages.
• 10+ years in schema design and dimensional modeling.
• 10+ years in authoring SQL statements.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience managing data warehouse plans with internal clients.

Responsibilities

• Drive vision for data foundation and analytics across cross-platform components.
• Own data architecture for large-scale projects and evaluate design trade-offs.
• Improve logging data effectiveness and triage data issues.
• Build relationships with Data Scientists, PMs and Engineers to meet data needs.
• Define and manage SLAs for data sets within ownership.
• Define security models respecting privacy requirements and governance.

Skills

Data architecture

Cross-functional leadership

Mentorship

Education

Bachelor's degree in CS or related field

Tools

SQL

Python

ETL pipelines

Job description

Meta is seeking a technical leader for the Data Engineering team to guide data foundation and analytics across major products. You will drive end-to-end analytics, design scalable data models, and collaborate with product managers, data scientists, and software engineers to enable informed decision making.

The role emphasizes leadership, governance, and building data solutions that scale with Meta’s growth and user base in a globally distributed environment.