Technical Lead, Data Analytics & Platform

Meta; Columbus (OH); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta's Data Engineering team is seeking a technical leader to drive the data foundation and analytics across platforms, collaborating with product managers, data scientists, and software engineers to scale analytics for billions of users.

You will own data architecture for large-scale projects, define governance, and build end-to-end data models and visualizations while mentoring teammates and delivering measurable impact.

Qualifications

• Bachelor's degree or equivalent in CS/engineering or related field.
• 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

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

Skills

Data Architecture

Analytics leadership

SQL

Python

Cross-functional collaboration

ETL design

Data governance

Security & privacy

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

MapReduce

MPP systems

Job description

Meta's Data Engineering team is seeking a technical leader to drive the data foundation and analytics across platforms, collaborating with product managers, data scientists, and software engineers to scale analytics for billions of users.

You will own data architecture for large-scale projects, define governance, and build end-to-end data models and visualizations while mentoring teammates and delivering measurable impact.