Data Engineer III

About the Role

Key Responsibilities

• Architect and oversee implementation of enterprise-wide data modeling strategies in Snowflake
• Define and maintain dbt modeling standards and best practices across the organization
• Design scalable solutions for complex analytical problems spanning multiple data domains
• Lead the development and implementation of reusable analytics frameworks and components
• Drive implementation of advanced performance optimization strategies for large-scale data transformations
• Partner with leadership to align analytics initiatives with business objectives
• Drive adoption of modern engineering tools with emphasis on dbt development practices
• Establish best practices for engineering across the organization
• Evaluate and recommend new technologies and approaches to improve capabilities
• Lead technical discussions and decision-making with executives, bridging engineering teams and stakeholders
• Lead the design and implementation of enterprise-wide visualization solutions
• Establish visualization standards and best practices across the organization
• Architect scalable and performant dashboard solutions
• Optimize data models and queries for visualization performance
• Guide the development of interactive analytics applications
• Mentor and guide junior analytics engineers in dbt development and analytics engineering best practices
• Review and approve technical designs and perform code reviews
• Foster a culture of innovation and continuous improvement within the team
• Lead knowledge sharing initiatives and internal training programs

Requirements

• Bachelor's degree in computer science, Statistics, Mathematics, or related field
• 10+ years of experience in analytics, data engineering, or related field
• Experience with dbt, including package development, dependency management, custom macro development, testing framework implementation, and CI/CD pipeline integration
• Expert-level knowledge of data modeling, dimensional design, and analytics engineering best practices
• Advanced proficiency in SQL and Python
• Proven experience leading and mentoring technical teams
• Excellence in stakeholder management and technical communication
• Track record of successfully delivering enterprise-scale solutions
• Proven expertise in data visualization development, including building enterprise-scale dashboards, understanding data visualization best practices, and experience with multiple visualization platforms
• Minimum 3 years of experience with Snowflake, including performance optimization, security, resource monitoring, and data warehouse architecture design

Nice to Have

• Prior experience with marketing and advertising data
• Experience with Streamlit for building data visualizations and applications
• Knowledge of other modern data visualization frameworks (D3.js, Plotly, etc.)
• Familiarity with machine learning visualization techniques
• Experience building pipelines in support of chat applications
• Experience publishing applications to Snowflake's marketplace

Qualifications

• Bachelor's degree in relevant field
• 10+ years of experience in analytics or data engineering
• Minimum 3 years of Snowflake experience

Benefits & Perks

• Competitive salary range of $180,000 to $230,000
• Discretionary bonus
• Health insurance coverage
• Life and disability insurance
• Retirement savings plans
• Company paid holidays and unlimited paid time off (PTO)
• Mental health and wellness resources
• Pet insurance
• Childcare resources
• Identity theft insurance
• Fertility assistance programs
• Fitness reimbursement