Key skills
PythonSQLAIETLData EngineeringAnalytics
About this role
Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking a technical leader in their Data Engineering team to drive the vision for data foundation and analytics while collaborating with cross-functional teams to optimize product offerings and user satisfaction.
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