Data Engineering Manager Job at Meta (Burlingame)

Job Description

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Job Responsibility

Plan, direct, and coordinate activities and proactively drive the vision for Bl and Data Warehousing across a product vertical
Build a high-quality Bl and Data Warehousing team and design the team to scale
Manage data warehouse plans across a product vertical
Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
Drive the design, building, and launching of new data models and data pipelines in production
Manage development of data resources and support new product launches
Drive data quality across the product vertical and related business areas
Manage the delivery of high impact dashboards and data visualizations
Define and manage SLA's for all data sets and processes running in production

Requirements

Requires a Master's degree (or foreign equivalent) in Computer Science, Information Systems Management, or a related technical field and 96 months of experience in the job offered or in a related occupation
Requires 96 months of experience involving the following: Scaling and managing 5 person teams
Project Management Leadership experience initiating and driving projects
Data architecture in designs, builds and contributes to services that reduce the complexity and time investment required to log data accurately and efficiently and architects sophisticated multi tier logical and physical models that reduce the time and complexity required to perform data modeling across a product or domain
SQL or similar languages and development in at least one scripting language such as Python and Perl
Data pipelines in evaluates design and operational cost benefit trade offs in systems evaluates configuration parameters to optimize efficiency, performance, and scalability of software components, partners with system architects to optimize design to deliver the overall system architecture architects and implements for scale and complexity and defines and evolves new standards and patterns that are adopted across the function
Data visualization in designs and builds services that reduce the complexity and time investment required to prepare and manipulate data for visualization, appropriately applies advanced concepts and procedures to solving complex data visualization problems identifies and creates the most powerful way to visualize the data and distills complex findings into simple, compelling visualizations and conceptualizes new interface components, widgets and design elements, or new ways to compose an interface to maximize its value and usefulness

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