20 days ago
London, United KingdomSenior
Responsibilities
- Own data architecture for multiple large-scale projects and evaluate system design and operational cost tradeoffs.
- Create and improve logging-data frameworks while partnering with data infrastructure teams to triage and resolve issues.
- Collaborate with engineers, product managers, and data scientists to define data needs and communicate insights visually.
- Define and manage Service Level Agreements for owned datasets.
- Implement privacy-based security models, maintain safeguards, resolve data quality issues, and evolve governance processes.
- Design, build, and launch data models and visualizations supporting multiple products and use cases.
- Solve data integration problems using ETL patterns, frameworks, query techniques, and structured and unstructured sources.
- Own and optimize production processes, pipelines, dashboards, frameworks, and systems.
- Influence product and cross-functional teams to identify data opportunities and drive impact.
- Mentor team members through actionable feedback.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent.
- 7+ years of experience primarily working with data, including data analyst, data scientist, data engineer, or similar roles.
- 7+ years of experience with SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
- Preferred experience with ongoing AI skill development, including prompt/context engineering or agent orchestration.
- Preferred experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
- A master’s or Ph.D. in a STEM field is preferred.
- Preferred ability to integrate AI tools to optimize or redesign workflows and drive measurable impact.
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.