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Meta · 20 hours ago

Data Engineering Manager, Analytics (Central Products)

Bellevue, WA

Full-time

Onsite

Director/Executive

$177K/yr - $247K/yr

8+ years exp

Meta is a company that builds technologies to help people connect and grow businesses. They are looking for a Data Engineering Manager to lead the Data Engineering team, driving the mission and strategy for Business Intelligence and Data Warehousing while managing a high-quality team and delivering on data needs for product launches.

Computer Software

Comp. & Benefits

Responsibilities

Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical

Build and lead a high-quality BI and Data Warehousing team, designing it to scale

Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs

Manage data warehouse plans, drive data quality, and ensure operational efficiency

Design, build, and launch new data models and pipelines in production

Deliver high-impact dashboards and data visualizations

Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production

Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies

Qualification

Data WarehousingBusiness IntelligenceData ArchitectureProject ManagementSQLPythonTeam ManagementCross-functional CollaborationCommunication Skills

Required

A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams

8+ years of experience in BI and Data Warehousing

Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields

Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance

Experience communicating results of analysis to executive leadership

Project management experience

Data architecture experience

Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)

2+ years of experience managing people with experience scaling and managing 3+ person teams

Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management