Data Engineering Leader, Analytics

Talantir; United States; Remote; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a Data Engineering Leader for Analytics to set the vision for BI and Data Warehousing across a product vertical and to execute strategic plans. You will build and scale a high-impact BI/DW team, collaborate with Data Scientists, Product Managers, and Software Engineers to meet data needs, and lead data model and pipeline development in production.

The ideal candidate has 9+ years in BI and Data Warehousing, strong leadership, and hands-on experience with Python or Java, plus

Qualifications

• Bachelor's degree in Computer Science or related technical field
• Project management experience
• Data architecture experience
• Experience in SQL or similar languages
• 9+ years of experience in BI and Data Warehousing
• 2+ years of experience managing managers
• Communication and leadership experience
• Experience scaling and managing 10+ person teams
• Development experience in Python or Java

Responsibilities

• Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
• Build and scale a high-quality BI and Data Warehousing team
• Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
• Lead data warehouse plans and ensure alignment with product vertical goals
• Lead the design, building, and launching of new data models and pipelines in production
• Ensure data quality across the product vertical and related business areas
• Manage the delivery of impactful dashboards and data visualizations
• Define and manage SLAs for all data sets and processes in production
• Define processes to achieve operational efficiency, including project management and system reliability
• Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies

Skills

Leadership

Project management

Data architecture

SQL

Python

Java

Team management

Cross-functional collaboration

Education

Bachelor's degree in CS/Engineering

Advanced degree (preferred)

Tools

Hadoop

BI tools

Job description

Data Engineering Leader, Analytics Responsibilities:

• Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it
• Team Building: Build and scale a high-quality BI and Data Warehousing team
• Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs
• Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals
• Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production
• Data Quality Assurance: Ensure data quality across the product vertical and related business areas
• Dashboard and Visualization Delivery: Manage the delivery of impactful dashboards and data visualizations
• Service Level Agreements: Define and manage SLAs for all data sets and processes in production
• Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies
• Define processes to achieve operational efficiency, including project management and system reliability

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Project management experience
• Data architecture experience
• Experience in SQL or similar languages
• 9+ years of experience in BI and Data Warehousing
• 2+ years of experience managing managers
• Communication and leadership experience, with experience initiating and driving projects
• Experience scaling and managing 10+ person teams
• Development experience in at least one object-oriented language (Python, Java, etc.)

Preferred Qualifications:

• Experience in a consumer web or mobile company
• Advanced Degree in Computer Science, Math, Physics, or other technical fields
• Experience with data sets, Hadoop, and data visualization 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 affirming Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgende 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].

$210,000/year to $281,000/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. Learn more about benefits at Meta.