Overview
Skills
Job Details
Who We Are
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.
Overview
We are seeking an expert-level Technical Data Engineer to architect and implement our modern data stack at Horizon Media. This role will be responsible for designing, building, and optimizing our data pipelines using Snowflake, dbt, and Fivetran, while ensuring data quality, scalability, and business value. The ideal candidate will possess deep technical expertise and hands-on experience with these technologies to drive our data transformation initiatives.
Key Responsibilities
- Lead architecture and design of scalable, secure, and cost-effective data solutions, including data lakes and warehouses
- Manage and mentor a team of data engineers, fostering a culture of collaboration, quality, and continuous improvement
- Build, optimize, and maintain data pipelines and workflows using Snowflake, dbt, and Fivetran
- Incorporate orchestration frameworks (e.g., dbt Cloud, Airflow, Dagster) and distributed computing tools (e.g., Apache Spark) where appropriate
- Support diverse data use cases including product analytics, reporting, and machine learning
- Establish and enforce best practices around modularity, testing, version control, and CI/CD in data engineering
- Collaborate with business leaders, analysts, and data scientists to translate requirements into technical solutions
- Champion data quality, reliability, and documentation standards across systems
Qualifications
- 7+ years of experience in data engineering, with at least 3 years in a leadership or team management role
- Proven success building and maintaining data lakes and enterprise-scale data platforms
- Strong expertise in Snowflake, dbt, Fivetran, and SQL performance optimization
- Hands-on experience with orchestration tools like Apache Airflow or Dagster
- Familiarity with distributed processing (Apache Spark) and file formats like Parquet
- Experience with version control (Git) and CI/CD for data pipelines
- Solid understanding of cloud infrastructure (AWS preferred)
- Excellent communication skills and ability to drive alignment across technical and business teams
- Media, advertising, or marketing data experience is a plus
Technical Skills
- Snowflake, dbt Cloud, Fivetran
- Apache Spark, Airflow/Dagster
- SQL (advanced), Python
- Git, CI/CD pipelines
- AWS services: S3, Lambda, Glue, etc.
- Parquet, Avro, and other modern data formats
This role offers the opportunity to work at the cutting edge of data engineering, implementing best-in-class solutions using modern data stack technologies while driving innovation and analytical capabilities across Horizon Media's operations.