Senior Data Engineering Manager, Analytics
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Job Summary:

Meta builds technologies that help people connect, find communities, and grow businesses. They are seeking a Data Engineering Manager to lead their Data Engineering team, focusing on Business Intelligence and Data Warehousing, while collaborating with cross-functional teams to support product launches and drive insights.

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

Qualifications:

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

• 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

Preferred:

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

• Experience with Big Data, Hadoop, and Data visualization tools

• Advanced degree (e.g.: Master of Science, PhD)

• Experience working with user facing Products

Company:

Meta is a social technology company that enables people to connect, find communities, and grow businesses. Founded in 2004, the company is headquartered in Menlo Park, California, USA, with a team of 10001+ employees. The company is currently Public Company. Meta has a track record of offering H1B sponsorships.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• IndustriesSoftware Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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