Data Engineering Lead, Analytics Platform

Meta; Richmond (VA); On-site; USD 210,000 - 281,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta in the United States seeks a technical Data Engineering leader to guide data foundation and analytics, partnering with Product, Data Science, and Software teams to enable scalable analytics across platforms. You will architect data models, govern data, and drive end-to-end analytics initiatives with an emphasis on security, privacy, and efficiency.

The role demands strong experience in data warehousing, ETL design, SQL, and big data tooling, with a track record of mentoring engineers and

Qualifications

• Bachelor’s degree or equivalent practical experience in a technical 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 warehouse

ETL design

OOP

Dimensional modeling

SQL

Data analysis

Stakeholder communication

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Tools

MapReduce

MPP system

Python

Job description

Meta in the United States seeks a technical Data Engineering leader to guide data foundation and analytics, partnering with Product, Data Science, and Software teams to enable scalable analytics across platforms. You will architect data models, govern data, and drive end-to-end analytics initiatives with an emphasis on security, privacy, and efficiency.

The role demands strong experience in data warehousing, ETL design, SQL, and big data tooling, with a track record of mentoring engineers and