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Meta · 22 hours ago

Data Engineer, Analytics (Technical Leadership)

Menlo Park, CA

Full-time

Onsite

Senior Level, Lead/Staff

$210K/yr - $281K/yr

10+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. The Data Engineer in Analytics will lead technical efforts to improve data infrastructure and analytics capabilities, collaborating with cross-functional teams to support product development and user satisfaction.

Computer Software

Comp. & Benefits

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