VP, Architecture & Data Engineer

Horizon Media; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

A leading company in advertising seeks a VP, Architecture & Data Engineer to implement a modern data stack. This executive role encompasses building and optimizing data pipelines using cutting-edge technologies, managing a skilled team, and driving data transformation initiatives. The ideal candidate will have a strong technical background and experience in media-related data processing.

Benefits

Health insurance coverage

Life and disability insurance

Retirement savings plans

Unlimited paid time off (PTO)

Mental health resources

Fitness reimbursement

Qualifications

• 7+ years in data engineering, at least 3 in leadership.
• Proven success in building data lakes.
• Expertise in Snowflake, dbt, Fivetran, and SQL.

Responsibilities

• Lead design of scalable data solutions.
• Manage and mentor data engineering team.
• Build and maintain data pipelines.

Skills

Data engineering

Snowflake

dbt

Fivetran

SQL performance optimization

Apache Airflow

Python

Job description

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VP, Architecture & Data Engineer - Horizon Media

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.

Job Description

VP, Architecture & Data Engineer - Horizon Media

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.

#HM

Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Salary 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, licensure/certifications, 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.

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Advertising Services

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