BI & Data Warehousing Lead — Engineering Manager

Meta (Instagram); San Francisco (CA); On-site; USD 173,000 - 242,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta (Instagram) is seeking a Data Engineering Manager to lead the Business Intelligence and Data Warehousing mission across product verticals. This role involves managing a team, delivering impactful data visualisations, and driving project efficiencies to improve product strategies.

The ideal candidate should have over 8 years of experience in BI/Data Warehousing, expertise in data architecture, and strong project management skills. The position offers an attractive compensation package including base salary and equity.

Qualifications

• 4 years of work experience in applied analytics, with 2+ years managing analytics teams.
• 8+ years of experience in BI and Data Warehousing.
• Experience initiating and completing BI projects with minimal guidance.
• 2+ years managing teams of 3+ people.
• Experience working closely on cross-functional teams.

Responsibilities

• Drive the mission and strategy for BI and Data Warehousing.
• Build and lead a high-quality BI and Data Warehousing team.
• Manage data warehouse plans and ensure operational efficiency.
• Design, build, and launch new data models in production.
• Deliver dashboards and data visualisations.

Skills

Data architecture

Data querying languages (e.g. SQL)

Project management

Managing analytics teams

Communication with executive leadership

Education

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

Tools

Python

Java

Hadoop

Data visualisation tools

Job description

Meta (Instagram) is seeking a Data Engineering Manager to lead the Business Intelligence and Data Warehousing mission across product verticals. This role involves managing a team, delivering impactful data visualisations, and driving project efficiencies to improve product strategies.

The ideal candidate should have over 8 years of experience in BI/Data Warehousing, expertise in data architecture, and strong project management skills. The position offers an attractive compensation package including base salary and equity.