Senior Analytics Data Architect & Platform Lead

Meta; Phoenix (AZ); On-site; USD 210,000 - 281,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a seasoned Data Engineer (Analytics Leadership) to help shape the data foundation for our platforms. You will own data architecture for large-scale projects, define SLAs, and collaborate with Data Scientists, PMs, and Software Engineers to deliver impactful data solutions.

Lead end-to-end analytics initiatives, optimize ETL patterns, and drive governance and security practices across data domains.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, 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

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 engineering

Analytics leadership

SQL

ETL design

Data modeling

OOP

Python

Data warehousing

Cross-functional collaboration

Leadership

Education

Bachelor's degree in Computer Science or related field

Tools

MapReduce

MPP systems

Python

Job description

Meta is seeking a seasoned Data Engineer (Analytics Leadership) to help shape the data foundation for our platforms. You will own data architecture for large-scale projects, define SLAs, and collaborate with Data Scientists, PMs, and Software Engineers to deliver impactful data solutions.

Lead end-to-end analytics initiatives, optimize ETL patterns, and drive governance and security practices across data domains.