Analytics Engineering Architect
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 objectivesDrive adoption of modern engineering tools with emphasis on dbt development practicesEstablish best practices for engineering across the organizationEvaluate and recommend new technologies and approaches to improve capabilitiesLead 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 solutionsEstablish visualization standards and best practices across the organizationArchitect scalable and performant dashboard solutionsOptimize data models and queries for visualization performanceGuide the development of interactive analytics applicationsEnsure visualizations effectively communicate business insights(15%) Team Leadership and Mentorship
Mentor and guide junior analytics engineers in dbt development and analytics engineering best practicesReview and approve technical designs and perform code reviewsFoster a culture of innovation and continuous improvement within the teamLead knowledge sharing initiatives and internal training programsQualifications :
Bachelor's degree in computer science, Statistics, Mathematics, or related field10+ years of experience in analytics, data engineering, or related fieldExperience with dbt with expertise in :Package development and dependency managementCustom macro developmentTesting framework implementationCI / CD pipeline integrationExpert-level knowledge of data modeling, dimensional design, and analytics engineering best practicesAdvanced proficiency in SQL and PythonProven experience leading and mentoring technical teamsExcellence in stakeholder management and technical communicationTrack record of successfully delivering enterprise-scale solutionsProven expertise in data visualization development, including :Experience building enterprise-scale dashboardsStrong understanding of data visualization best practicesExpertise in visual design principles and data storytellingExperience with multiple visualization platformsMinimum 3 years of experience with Snowflake, including :Performance optimization and query tuningSecurity and access control implementationResource monitoring and cost optimizationData warehouse architecture designPreferred Skills :
Prior experience with marketing and advertising dataExperience with Streamlit for building data visualizations & applicationsKnowledge of other modern data visualization frameworks (D3.js, Plotly, etc.)Familiarity with machine learning visualization techniquesBuilding pipelines in support of chat applicationsPublishing applications to Snowflake's marketplaceSalary Range $180,000.00 - $230,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including 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, and fitness reimbursement.