2 months ago
Base Salary
$177k - $247k/yr
Responsibilities
- Own data architecture for multiple large-scale projects and evaluate system design and operational cost-benefit tradeoffs.
- Create frameworks to improve logging data and collaborate with data infrastructure teams to triage and resolve issues.
- Collaborate with engineers, product managers, and data scientists to understand data needs and communicate insights visually.
- Define and manage Service Level Agreements for data sets within assigned areas of ownership.
- Design and enforce privacy-based security models, address data quality issues, and evolve data-governance processes.
- Build and launch sophisticated data models and visualizations supporting multiple products and use cases.
- Solve complex data integration problems using ETL patterns, frameworks, query techniques, and structured and unstructured data sources.
- Optimize production processes, pipelines, dashboards, frameworks, systems, and complex code.
- Influence product and cross-functional teams to identify data opportunities and drive impact.
- Mentor team members and provide and receive actionable feedback.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- At least 7 years of experience primarily working with data, including data engineering, data science, data analysis, or similar work.
- At least 7 years of experience with SQL, ETL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
- Experience designing and implementing privacy or data-governance controls in large-scale production data pipelines, including consent or eligibility logic, personal-information filtering or anonymization, and deletion and retention requirements.
- Experience implementing automated or programmatic access controls and data-governance mechanisms for sensitive data.
- Experience translating privacy, legal, or regulatory requirements into verifiable technical controls with policy, legal, or compliance partners.
- Master’s or Ph.D. degree in a STEM field is preferred.
- Preferred experience includes integrating AI tools into workflows, implementing responsible and ethical AI practices, developing AI skills such as prompt/context engineering or agent orchestration, and building privacy or compliance controls for machine-learning or model-training data.
- Preferred experience includes establishing data-governance standards and onboarding processes, implementing data deletion propagation or historical remediation, and serving as a technical lead who sets direction and mentors engineers.
Benefits
- The posting lists bonus, equity, and benefits in addition to the stated base salary.
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.