Engineer
About The Position
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.
Requirements
- 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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Professional, Scientific, and Technical Services
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
