Facebook Data Engineering Manager 

United States, California, Burlingame 

46480741

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.

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:

1. Scaling and managing 5 person teams

2. Project Management Leadership experience initiating and driving projects

3. 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

4. SQL or similar languages and development in at least one scripting language such as Python and Perl

5. 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

6. 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