Data Engineering Manager, Analytics | Instagram (Meta) – San Francisco, CA | Apply Now

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

About the job

We’re looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You’ll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and people regularly.

Data Engineering Manager, Analytics 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 visualisations
• 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.

Minimum Qualifications:

• A minimum of 4 years of work experience (2+ years with a PhD) 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

Preferred Qualifications:

• Advanced Degree in Computer Science, Math, Physics, or other technical fields
• Experience in a consumer web or mobile company
• Experience with data sets, Hadoop, and data visualisation tools

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$173,000/year to $242,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. You can learn more about the benefits at Meta.