Position Details: Engineer-Digital : Adobe Analytics

Digital Analytics Platform Engineer

• 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

• 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.

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