Data Engineer, Analytics (Technical Leadership)

Meta builds technologies that help people connect, and they are seeking a Data Engineer with technical leadership skills to enhance their data foundation and analytics. This role involves collaborating with cross-functional teams to define data architecture, optimize processes, and mentor team members while ensuring data security and quality.

Responsibilities:

• Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
• Define and manage SLA for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
• Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
• Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact
• Mentor team members by giving/receiving actionable feedback

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years experience in the 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
• BS/BA in Technical Field, Computer Science or Mathematics
• Experience working with either a MapReduce or an MPP system
• Knowledge and practical application of Python
• Experience working autonomously in global teams
• Experience influencing product decisions with data
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies