Overview
Skills
Job Details
Digital Analytics Platform Engineer
Remote
Digital Analytics Platform Engineer to lead the end-to-end design and development of solutions for collecting and managing digital and marketing clickstream data.
This role requires a strong foundation in software engineering, automation, and scalable data collection architecture.
The ideal candidate will have deep expertise in digital data collection, third-party digital analytics platforms (e.g-, Adobe Analytics, Google Analytics), and enterprise architecture. They should have experience designing and implementing clickstream data solutions that integrate seamlessly with complex enterprise ecosystems.
Key Responsibilities:
* Design and develop scalable, self-service digital data collection platforms aligned with enterprise technology strategies.
* Automate and optimize data collection, quality assurance, and monitoring processes using JavaScript.
* Collaborate closely with cross-functional teams-including developers, architects, and business stakeholders-to bring solutions to life:
* Ensure data integrity and reliability by implementing robust quality control and monitoring systems.
* Analyze large datasets using SQL or third-party analytics platforms to extract insights and refine data strategies.
* Provide thought leadership in digital data collection, aligning strategies with business goals and enterprise technology frameworks.
Required Qualifications:
Bachelor's degree in computer science or engineering
* Official Adobe Analytics Architect Master Certification and Tealium EventStream iQ Tag Management Certification required.
* Additional certifications required for various digital analytics roles, including but not limited to:
* Tealium EventStream API Hub Certification
* Adobe Customer Journey Analytics Developer Expert Certification
* 5+ years of practical implementation experience with one or more web/digital analytics tools (e.g., Adobe Analytics, Google Analytics) and tag management systems (e.g-, Tealium, Ensighten, Adobe Launch, Google Tag Manager).
* Knowledge of HTML/CSS and front end development best practices.
* Proficiency in Presto, SQL, Tableau, or Power BI for data analysis and visualization.
* Familiarity with Agile methodologies and software development lifecycle (SDLC) best practices.