Data Engineer, Analytics (Technical Leadership)

Join Meta in a senior data engineering leadership role based in San Francisco, onsite. This position offers a competitive annual salary range of USD 210,000 to 281,000, plus a bonus, equity, and a comprehensive benefits package. You will lead data foundation initiatives, shape analytics architecture, and collaborate across teams to deliver impact for Instagram and related platforms.

Benefits

• Bonus
• Equity
• Benefits

Responsibilities

• Define and drive the data foundation and analytics vision to accelerate cross platform components across Instagram, and create a plan to realize that vision.
• Own the data architecture for multiple large scale projects, evaluating design choices and operational costs against expected benefits.
• Contribute to data logging frameworks and partner with data infrastructure to triage and resolve issues.
• Build strong cross functional partnerships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on them.
• Establish and manage service level agreements for data sets within owned domains.
• Define security models aligned with privacy requirements, ensure safeguards are followed, address data quality issues, and advance governance processes within owned areas.
• Design, build, and deploy advanced data models and visualizations that support use cases across multiple products or domains.
• Tackle complex data integration challenges using efficient ETL patterns, frameworks, and query techniques across structured and unstructured sources.
• Co-own production processes and optimize code using advanced algorithms.
• Improve pipelines, dashboards, frameworks, and systems to simplify the development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities that drive impact.
• Mentor team members by providing actionable feedback and supporting growth.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 10+ years of experience in the data warehouse domain.
• 10+ years designing, implementing, and maintaining custom ETL processes.
• 10+ years of experience with object oriented programming languages.
• 10+ years of experience in schema design and dimensional data modeling.
• 10+ years of experience authoring SQL statements.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.

Technologies

• Python
• SQL
• MapReduce
• MPP system

Preferred Qualifications

• Bachelor's or equivalent in a technical field, such as Computer Science or Mathematics.
• Experience with MapReduce or an MPP system.
• Practical knowledge of Python.
• Ability to work autonomously within global teams.
• Experience influencing product decisions using data.
• Proven ability to integrate AI tools to optimize workflows and drive measurable impact.
• Experience applying responsible AI practices, including risk assessment and bias mitigation.
• Active development of AI skills and familiarity with emerging AI technologies.