Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain’s New York Business and Los Angeles Business Journal. Together we are building a place of belonging.
At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.
Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.
Job Summary
As an Analytics Engineering Architect, you will be responsible for leading the design and implementation of enterprise-wide analytics solutions that transform raw data into actionable business insights. This role combines deep expertise in data architecture, visualization development, and analytics engineering to create scalable solutions that enable data-driven decision-making across the organization. You will establish standards for data transformation, testing, and documentation while partnering with leadership to align analytics initiatives with business objectives.
What You'll Do
(40%) Design and Implement Enterprise Analytics
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
(30%) Technical Leadership and Innovation
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
(15%) Visualization Development and Strategy
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
Ensure visualizations effectively communicate business insights
(15%) Team Leadership and Mentorship
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
Qualifications:
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 with expertise in:
Package development and dependency management
Custom macro development
Testing framework implementation
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:
Experience building enterprise-scale dashboards
Strong understanding of data visualization best practices
Expertise in visual design principles and data storytelling
Experience with multiple visualization platforms
Minimum 3 years of experience with Snowflake, including:
Performance optimization and query tuning
Security and access control implementation
Resource monitoring and cost optimization
Data warehouse architecture design
Preferred skills:
Prior experience with marketing and advertising data
Experience with Streamlit for building data visualizations & applications
Knowledge of other modern data visualization frameworks (D3.js, Plotly, etc.)
Familiarity with machine learning visualization techniques
Building pipelines in support of chat applications
Publishing applications to Snowflake’s marketplace
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