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Closed on September 14, 2026.
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Job Description
Lead end-to-end analytics systems and data foundation efforts across Meta’s products, including Instagram, with a focus on architecture, governance, security, and high-quality analytics.
Responsibilities
- Drive the vision for the data foundation and analytics platform to accelerate development and improvement of cross-platform components across Instagram; define and execute the plan to realize that vision
- Own data architecture for multiple large-scale initiatives, including evaluating design choices and operational cost-benefit tradeoffs within data systems
- Develop and contribute to frameworks that improve the effectiveness of logging data; collaborate with data infrastructure teams to triage issues and resolve them
- Partner cross-functionally with Data Scientists, Product Managers, and Software Engineers to understand data requirements and deliver analytics capabilities
- Define and manage SLAs for data sets within areas of ownership
- Determine and implement security models aligned to privacy requirements; ensure safeguards are followed; address data quality issues; evolve governance processes within owned areas
- Design, build, and launch collections of sophisticated data models and visualizations supporting use cases across products and domains
- Solve complex data integration challenges using optimal ETL patterns, frameworks, and query techniques; support sourcing from structured and unstructured data sources
- Help own production processes; optimize complex code using advanced algorithmic concepts
- Optimize pipelines, dashboards, frameworks, and systems to make development of data artifacts easier
- Influence product and cross-functional teams to identify data opportunities and drive measurable impact
- Mentor team members through actionable feedback and by giving and receiving that feedback
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
- 10+ years experience in the data warehouse space
- 10+ years experience with custom ETL design, implementation, and maintenance
- 10+ years experience with object-oriented programming languages
- 10+ years experience in schema design and dimensional data modeling
- 10+ years experience authoring SQL statements
- Experience analyzing data to identify deliverables, gaps, and inconsistencies
- Experience managing and communicating data warehouse plans to internal clients
Technology
- SQL
- Python
Preferred Qualifications
- BS/BA in a technical field, Computer Science, or Mathematics
- Experience working with either MapReduce or an MPP system
- Experience working autonomously in global teams
- Experience influencing product decisions with data
- Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (for example, efficiency gains or quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (for example, risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies
Benefits
- bonus
- equity
- benefits
Location: Remote
Compensation: USD 210,000 - 281,000 per year
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