MarTech Solutions Engineer

  • Marketing
  • United State
  • 08/01/2023
  • Full Time
Job expired!

About the job

 

LOCATION: Global Remote

 

THE NUTS AND BOLTS OF THE JOB: We are looking for a passionate, motivated, high-performing team member to join our agency. You will function as a solutions engineer responsible for the deployment and support of clients’ marketing technology stacks and the leveraging of those stacks towards clients’ marketing goals. You must be a self starter and self-directed and able to work with minimal supervision both on your own and in teams, alongside team members from the following areas: development, data engineering, digital media, marketing automation, data visualization, data science, UX, CX, content development, creative, brand strategy, and account service.

 

Experience Requirements:

  • Extensive marketing technology knowledge
  • Extensive experience with tag management platforms such as Google Tag Manager, Tealium TiQ, and Adobe Launch
  • Extensive experience working with APIs (REST, webhooks, SOAP, etc.)
  • Significant experience working with large datasets and working with query languages such as SQL
  • Significant experience leveraging front-end technologies such as Javascript in the context of marketing technology platforms
  • Knowledge of cloud ecosystems such as Google Cloud Platform and Amazon Web Services
  • Knowledge of programming languages such as Python, java, or PHP, etc.
  • Knowledge of common programming concepts
  • Significant experience in client-facing roles, and in particular in client-facing marketing technology roles
  • Experience using tools such as Charles Proxy and Wireshark for advanced QA and debugging across mobile app devices

Responsibilities:

  • Support the development and rollout of advanced web analytics tools and other marketing technology tools such as Customer Data Platforms, tag management systems, marketing automation and lifecycle marketing tools, and more
  • Support the rollout of data warehousing projects, incorporating various datasets from different sources
  • Rapidly develop and prototype proof of concepts to test theories and frameworks
  • Identify opportunities for automation to help streamline processes and decrease time spent on manual tasks