Legal Data Engineering Manager

Published date Posted on Indeed on Aug 04, 2022 (8 d ago)
The Legal Central Services data engineering team is responsible for building solutions to solve complex problems related to compliance, security & investigations, intellectual property, and more. We are looking for a Data Engineering Manager to lead a team of talented data engineers, while proactively driving the vision for data engineering across the entire legal organization at Meta. In this role, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is a critical investment to scale analytics capabilities and drive strategy. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies, depending on partner needs. Projects include analytics, data pipeline frameworks, tooling, services and more.

Legal Data Engineering Manager Responsibilities:

  • Partner with leadership, engineers, program managers and data analyst to understand data needs.
  • Design, build and launch efficient and reliable data pipelines transforming data into useful report ready datasets.
  • Broad range of partners equates to a broad range of projects and deliverables including data pipeline frameworks, datasets, measurements, services, tools and process.
  • Use your data and analytics experience to ‘see what’s missing’ identifying and address data gaps, build monitor to detect data quality issues and partner to establish a self-serve environment.
  • Leverage data and business principles to automate data flow, detect business exceptions, build diagnostic capabilities, improve both business and data knowledge base.
  • Build data expertise and own data quality for your areas.

Minimum Qualifications:

  • Proven experience designing and building data engineering solutions which solve complex, ambiguous problems or which scale horizontally to provide value across many teams and consumers.
  • Effective track record of driving large cross functional standards and best practices and setting the bar when it comes to design and build quality.
  • Experience hiring and managing highly skilled data engineers, providing mentorship, guidance, and career development to the members of the team.
  • Experience driving initiatives that elevate org’s people, technology and processes.
  • Degree in Engineering, Computer Science, Math or a related quantitative field.
  • 5+ years of SQL experience.
  • 5+ years experience in custom ETL design, implementation and maintenance.
  • 4+ years of Python development experience.
  • 3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
  • 3+ years experience with Data Modeling.
  • Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
  • Experience owning and delivering major business initiatives from idea to implementation.
  • Experience analyzing data to discover opportunities and address gaps.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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