2 months ago
London, United KingdomMid Level
Responsibilities
- Own data architecture for multiple large-scale projects and evaluate system design and operational cost-benefit 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 understand data needs and communicate insights.
- Define and manage service-level agreements for datasets within assigned areas of ownership.
- Implement security models, privacy safeguards, data quality practices, and governance processes.
- Design, build, and launch sophisticated data models and visualizations across multiple products and domains.
- Solve complex data integration problems using ETL patterns, frameworks, query techniques, and structured and unstructured data sources.
- Own and optimize production processes and complex code using advanced algorithmic concepts.
- Optimize pipelines, dashboards, frameworks, and systems to simplify data artifact development.
- 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.
- At least 4 years of experience primarily working with data, including data analyst, data scientist, data engineer, or similar work.
- At least 4 years of experience with SQL, ETL, data modeling, and at least one programming language, or 2+ years of that experience with a Ph.D.
- Preferred: ongoing AI skill development, such as prompt/context engineering or agent orchestration.
- Preferred: experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
- Preferred: Master’s or Ph.D. degree in a STEM field.
- Preferred: ability to integrate AI tools to optimize or redesign workflows and produce 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.