← All roles

Data Engineer, Analytics (Technical Leadership)

Meta· Data Engineering
Apply on company site
Menlo Park, CA$210k - $281kFull-timePosted 7mo ago

About the role

Technical leadership role focused on building and governing the data foundation and analytics across Meta platforms. Collaborates with Product Managers, Data Scientists, and Software Engineers to design scalable data architectures, data models, and analytics solutions that drive product impact and user satisfaction at scale.

Responsibilities

  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define and manage SLA for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
  • Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years experience in the data warehouse space
  • 10+ years experience in custom ETL design, implementation and maintenance
  • 10+ years experience with object-oriented programming languages
  • 10+ years experience with schema design and dimensional data modeling
  • 10+ years experience in authoring SQL statements
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients

Skills

Required:Data architectureETL design and maintenanceSQLData governance and securityCross-functional collaboration
Nice to have:Mentoring

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Meta

Shop the latest AI glasses and wearable technology from Meta.

Shop the latest AI glasses and wearable technology from Meta. Explore Ray-Ban Meta, Oakley Meta, display glasses, and cutting-edge VR headsets.

AI glassesOakley MetaRay-Ban MetaVR headsetsliquid-ai-recruiting-targetwearable technology
Company profileWebsite

More open roles at Meta