1 month ago
Base Salary
$253k - $314k/yr
Responsibilities
- Drive the vision and execution plan for data foundations and analytics across cross-platform Instagram components.
- Own data architecture for multiple large-scale projects and evaluate system design and operational cost tradeoffs.
- Build and improve logging-data frameworks, troubleshoot data infrastructure issues, and resolve data quality problems.
- Partner with Data Scientists, Product Managers, and Software Engineers to understand and deliver on data needs.
- Define and manage SLAs for data sets within assigned areas of ownership.
- Implement security models, privacy safeguards, governance processes, and data quality improvements.
- Design, build, and launch sophisticated data models and visualizations across products and domains.
- Solve complex data integration problems using ETL patterns, frameworks, query techniques, and structured and unstructured data sources.
- Optimize production code, pipelines, dashboards, frameworks, and systems using advanced algorithmic concepts.
- Influence product and cross-functional teams to identify data opportunities and mentor team members.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 12+ years of experience in the data warehouse space.
- 12+ years of experience designing, implementing, and maintaining custom ETL solutions.
- 12+ years of experience with object-oriented programming languages.
- 12+ years of experience with schema design and dimensional data modeling.
- 12+ 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.
- Preferred: practical knowledge of Python.
- Preferred: experience influencing product decisions with data.
- Preferred: BS/BA in a technical field, Computer Science, or Mathematics.
- Preferred: experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
- Preferred: experience using AI tools to optimize or redesign workflows and drive measurable impact.
- Preferred: experience with MapReduce or an MPP system.
- Preferred: ongoing AI skill development, including prompt/context engineering and agent orchestration.
- Preferred: experience independently driving projects across distributed or global teams.
Benefits
- Annual base salary of $253,000/year to $314,000/year, plus bonus, equity, and benefits.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.