Senior Data Engineering & Analytics Lead

Meta; Concord (NH); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a Data Engineer, Analytics (Technical Leadership) to guide the data foundation and analytics strategy across cross-functional teams. You will own data architecture for large-scale projects, build scalable data models, and drive privacy-conscious governance across platforms.

Join a collaborative team in a role that shapes data-driven decisions, enhances data quality, and accelerates product impact for billions of users and internal stakeholders.

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

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

Job description

Meta is seeking a Data Engineer, Analytics (Technical Leadership) to guide the data foundation and analytics strategy across cross-functional teams. You will own data architecture for large-scale projects, build scalable data models, and drive privacy-conscious governance across platforms.

Join a collaborative team in a role that shapes data-driven decisions, enhances data quality, and accelerates product impact for billions of users and internal stakeholders.