Lead Data Engineer
Manager
Analytics
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Engineering Lead
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Digital Marketing
Lead Data Engineering
Programming Language
Reporting and Analytics
SQL
Job Description
The Lead Data Engineer is a hands-on technical leader responsible for enterprise data engineering, analytics, automation, and AI-related initiatives. This role combines technical direction, team mentoring, and close collaboration with business and technology stakeholders to deliver reliable data solutions.
Location
Los Angeles, CA (onsite)
Compensation
USD 175,000 - 180,000 per year
- $175,000 with discretionary bonus
Role Summary
The Lead Data Engineer will lead the design, development, and support of enterprise data solutions. The position focuses on building and improving data pipelines and integrations, strengthening reporting and automation capabilities, and maintaining high standards for data quality, reliability, and operational performance.
Responsibilities
- Lead the design, development, and support of enterprise data solutions
- Provide technical leadership and establish development best practices
- Oversee data pipelines, integrations, reporting, and automation initiatives
- Partner with business and technology stakeholders to prioritize work and deliver solutions
- Monitor data quality, reliability, and operational performance
- Mentor team members and support their technical development
- Evaluate emerging technologies and identify opportunities for innovation
Required Qualifications
- 7+ years of experience in data engineering, analytics engineering, or related disciplines
- Strong experience with SQL, data modeling, and data transformation
- Experience with Python or similar programming languages
- Experience building and supporting enterprise data platforms and reporting solutions
- Demonstrated technical leadership and mentorship experience
- Strong communication and stakeholder management skills
Technologies
- SQL
- Python
Preferred Qualifications
- Experience with cloud-based data platforms
- Experience with AI, automation, or advanced analytics initiatives
- Experience with data governance, reporting, or business intelligence solutions
- Experience working in fast-paced, evolving environments
Benefits
- Comprehensive benefits package
- Retirement benefits
- Paid time off
- Professional development opportunities
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