Data Infrastructure Specialist

3 days ago


Los Angeles, California, United States META Full time
Job Title: Data Infrastructure Specialist, Global Partnerships & Content

Meta is seeking a highly skilled Data Infrastructure Specialist to join our Global Partnerships & Content team. As a key member of our team, you will be responsible for designing and developing scalable data infrastructure and analytics tools to support our business needs.

Responsibilities:
  • Collaborate with business stakeholders, insights, and engineering partners to understand and decompose business requirements into data models and technical solutions.
  • Directly contribute to the development of our data warehouse/data-mart through data management, data architecture, and data governance best practices and thought leadership.
  • Define and manage SLAs for data sets.
  • Design and develop complex data models to support multiple use cases across different products or domains.
  • Design and optimize pipelines, dashboards, frameworks, and systems based across different business units (e.g., data quality, metadata management).
  • Work collaboratively in a relationship-oriented, matrixed, fluid, growing, and complex environment and effectively manage stakeholder relationships and influence engineering teams.
Requirements:
  • 3+ years of experience in hands-on technical analytics roles gathering and decomposing requirements into a technical solution for insights and analysis as a primary job function.
  • 3+ years of experience following the data development lifecycle to develop scalable data infrastructure and analytics tools.
  • 3+ years of experience in custom ETL/ELT design, implementation, and maintenance as a primary job function.
  • Experience with SQL for development (Oracle, Hive, MySQL, Spark, etc.).
  • Experience with building dimensional models/data modeling.
  • Experience leading projects with cross-functional stakeholders in a highly matrixed organization.
  • Experience managing multiple projects simultaneously and working autonomously in a fast-paced ambiguous environment.
Preferred Qualifications:
  • Experience with data integrations and ingestion (e.g., SFTP, APIs, etc).
  • Experience with developing data pipelines using scripting, dbt, Airflow, or similar tools.
  • Experience managing and optimizing big data pipelines.
  • Experience using data visualization and business intelligence tools.
  • Experience with media, music, or entertainment industry.

At Meta, we are committed to providing reasonable support in our recruiting processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to us.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.



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