Lead Data Engineer (AdTech)

We are seeking an experienced and visionary Lead Data Engineer to join our Stellar team!   
As the Lead Data Engineer, you will be a key player in designing and implementing the robust data infrastructure to power our data-heavy company. You will collaborate with cross-functional teams to build core data pipelines, store data in optimal engines and formats, and feed our machine-learning models. 

This is an individual contributor role with the potential to lead. You will work closely with our VP of Technology to define and implement a strategic vision for data engineering within the organization. 
Your expertise in Spark and Scala will be critical for success. 

CUSTOMER

Our client is a CTV advertising platform purpose-built for performance marketers. 
They leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.

PROJECT

The solution combines media buying, optimization, measurement, and attribution in one, efficient platform. 
The platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. 

• Design and implement robust data infrastructure using Spark with Scala
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
• Leverage and optimize AWS resources
• Collaborate closely with the Data Science team 

• Design and implement robust data infrastructure using Spark with Scala
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
• Leverage and optimize AWS resources
• Collaborate closely with the Data Science team 
• Design and implement robust data infrastructure using Spark with Scala
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Build out our core data pipelines, store data in optimal engines and formats, and feed our machine-learning models
• Leverage and optimize AWS resources
• Collaborate closely with the Data Science team