2 months ago
Singapore, SingaporeMid Level
Responsibilities
- Own data architecture for multiple large-scale projects and evaluate system design and operational cost-benefit tradeoffs.
- Create and contribute to logging-data frameworks, triage infrastructure issues, and resolve data problems.
- Collaborate with engineers, product managers, and data scientists to understand data needs and communicate insights.
- Define and manage Service Level Agreements for owned datasets.
- Implement security models, privacy safeguards, data quality controls, and governance processes.
- Design, build, and launch sophisticated data models and visualizations for multiple products and use cases.
- Solve data integration challenges using ETL patterns, frameworks, query techniques, and structured and unstructured data sources.
- Maintain 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.
- 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; alternatively, 2+ years of this experience with a Ph.D.
- Preferred: ongoing AI skill development, including prompt/context engineering or agent orchestration.
- Preferred: master’s or Ph.D. degree in a STEM field.
- Preferred: experience integrating AI tools to optimize or redesign workflows and produce measurable impact.
- Preferred: experience implementing responsible and ethical AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.
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.