Data Engineer, Analytics Leader

1 week ago


Carson City, Nevada, United States META Full time
About the Role

We are seeking a highly skilled Data Engineer, Analytics Leader to join our team at Meta. As a key member of our Data Engineering team, you will play a critical role in supporting the development of our data foundation, driving informed decision-making, and delivering business impact.

Key Responsibilities
  1. Technical Leadership: 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 a plan to achieve that vision.
  2. Data Architecture: Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
  3. Data Quality and Governance: Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
  4. Cross-Functional Collaboration: Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs.
  5. SLA Management: Define and manage SLA for all data sets in allocated areas of ownership.
  6. Security and Compliance: 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.
  7. Data Modeling and Visualization: Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains.
  8. Data Integration: Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
  9. Process Optimization: Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  10. Pipeline Optimization: Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
  11. Influencing Product Decisions: Influence product and cross-functional teams to identify data opportunities to drive impact.
  12. Mentorship: Mentor team members by giving/receiving actionable feedback.
Requirements
  1. Education: Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  2. Experience: 10+ years of experience in the data warehouse space, custom ETL design, implementation, and maintenance, object-oriented programming languages, schema design, and dimensional data modeling.
  3. Skills: Strong data infrastructure and data architecture skills, experience with object-oriented programming languages, schema design, and dimensional data modeling, experience analyzing data to identify deliverables, gaps, and inconsistencies, and experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications
  1. Education: BS/BA in a technical field, Computer Science, or Mathematics.
  2. Experience: Experience working with either a MapReduce or an MPP system, knowledge and practical application of Python, experience working autonomously in global teams, and experience influencing product decisions with data.
Compensation and Benefits

Meta offers a competitive salary range of $206,000/year to $281,000/year, plus bonus, equity, and benefits.

Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.



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