Director, Data Engineering

Job Description

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 Crains 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 a Director Data Engineering 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.

Job Duties

• (40%) Design and Implement Enterprise Analytics leveraging LLMs/Gen AI
  • 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

• (30%) Team Leadership and Mentorship
  • Lead and manage a hybrid data engineering team composed of full-time employees and contractors. Coordinating work across onshore near-shore and offshore resources to ensure consistent delivery quality standards and effective collaboration across time zones.
  • 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

Job Requirements

• Bachelors degree in computer science Statistics Mathematics or related field
• 8 years of experience in analytics data engineering or related field
  • Strong experience withcloud data warehouses(e.g. Snowflake Google BigQuery AWS Redshift).
  • Solid experience withbig data technologies(e.g. Spark Hadoop Kafka).
  • Advanced proficiency inSQLand one or more programming languages (e.g. Python Scala).
  • Experience with orchestration tools such asAirflowdbt or similar.
  • Hands-on experience with cloud platforms likeAWSGCP orAzure.
  • Knowledge of data modeling (star/snowflake schema) partitioning and optimization strategies.
• Proven experience leading and mentoring technical teams including offshore resources.
• Advanced dbt experience 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
• Excellence in stakeholder management and technical communication
• Track record of successfully delivering enterprise-scale solutions
• 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

Nice to Have

• Prior experience with marketing and advertising data
• Experience with Streamlit for building data visualizations & applications
• Knowledge of other modern data visualization frameworks ( Plotly etc.)
• Familiarity with machine learning visualization techniques
• Building pipelines in support of AI applications
• Publishing applications to Snowflakes marketplace

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The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities duties and skills required of personnel so classified. Furthermore they do not establish a contract for employment and are subject to change at the discretion of the employer.

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

A successful applicants actual base salary may vary based on factors such as individuals 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.