Enterprise Architect

Role Description

The Enterprise Architect (EA) serves as the primary technical driver for closing sales opportunities and supporting existing customer success with their marketing technology programs through value realization. The EA engages with customer Technical, Marketing and C-Suite teams in evaluation of current-state technology and business objectives to deliver future-state marketing technical architectures, digital engagement roadmap management and “Art of the Possible” digital experiences.

Minimum Qualifications

• Past experience in a consultative role supporting large-scale enterprise digital marketing ecosystems in the role of Architect/Principal Consultant or employee Marketing/Technical leader.
• Working knowledge of end-to-end digital marketing journey including Adtech (CDP/DMPs, DSPs, etc.), Marketing Automation, omni-channel personalization, Content Management/Generation, CRM, Media Execution and Reporting/Insights.
• Significant hands-on experience using enterprise platforms (Adobe, Salesforce, Oracle, Microsoft, etc.) with an emphasis on REST APIs, Cloud Storage, Structured/Unstructured Data, Security and Data Ingress/Egress.
• Ability to communicate complex ideas which “tells a story” to support Adobe’s POV and/or recommendation to technical, marketing and C-Suite audiences
• Ability to quickly diagnose challenges and opportunities and produce a future state architecture.
• Strong written and verbal communications skills with particular expertise in PowerPoint and Lucid Chart/Visio
• Bachelor's degree in Computer Science (CS), Digital Marketing or MBA or equivalent experience

Skills that Set You Apart

• One or more current Adobe Certified Expert certifications in Adobe (AEP, AJO, Analytics/CJA, RTCDP, Target or Workfront)
• Recent experience building enterprise level return on investment focused Business Cases for technology transformations
• Hands-on experience architecting and/or delivering native, Flutter or React-Native mobile applications

• Familiarity and usage of generative AI solutions

Role Description

The Enterprise Architect (EA) serves as the primary technical driver for closing sales opportunities and supporting existing customer success with their marketing technology programs through value realization. The EA engages with customer Technical, Marketing and C-Suite teams in evaluation of current-state technology and business objectives to deliver future-state marketing technical architectures, digital engagement roadmap management and “Art of the Possible” digital experiences.

Minimum Qualifications

• Past experience in a consultative role supporting large-scale enterprise digital marketing ecosystems in the role of Architect/Principal Consultant or employee Marketing/Technical leader.
• Working knowledge of end-to-end digital marketing journey including Adtech (CDP/DMPs, DSPs, etc.), Marketing Automation, omni-channel personalization, Content Management/Generation, CRM, Media Execution and Reporting/Insights.
• Significant hands-on experience using enterprise platforms (Adobe, Salesforce, Oracle, Microsoft, etc.) with an emphasis on REST APIs, Cloud Storage, Structured/Unstructured Data, Security and Data Ingress/Egress.
• Ability to communicate complex ideas which “tells a story” to support Adobe’s POV and/or recommendation to technical, marketing and C-Suite audiences
• Ability to quickly diagnose challenges and opportunities and produce a future state architecture.
• Strong written and verbal communications skills with particular expertise in PowerPoint and Lucid Chart/Visio
• Bachelor's degree in Computer Science (CS), Digital Marketing or MBA or equivalent experience

Skills that Set You Apart

• One or more current Adobe Certified Expert certifications in Adobe (AEP, AJO, Analytics/CJA, RTCDP, Target or Workfront)
• Recent experience building enterprise level return on investment focused Business Cases for technology transformations
• Hands-on experience architecting and/or delivering native, Flutter or React-Native mobile applications

• Familiarity and usage of generative AI solutions

Role Description

The Enterprise Architect (EA) serves as the primary technical driver for closing sales opportunities and supporting existing customer success with their marketing technology programs through value realization. The EA engages with customer Technical, Marketing and C-Suite teams in evaluation of current-state technology and business objectives to deliver future-state marketing technical architectures, digital engagement roadmap management and “Art of the Possible” digital experiences.

Minimum Qualifications

• Past experience in a consultative role supporting large-scale enterprise digital marketing ecosystems in the role of Architect/Principal Consultant or employee Marketing/Technical leader.
• Working knowledge of end-to-end digital marketing journey including Adtech (CDP/DMPs, DSPs, etc.), Marketing Automation, omni-channel personalization, Content Management/Generation, CRM, Media Execution and Reporting/Insights.
• Significant hands-on experience using enterprise platforms (Adobe, Salesforce, Oracle, Microsoft, etc.) with an emphasis on REST APIs, Cloud Storage, Structured/Unstructured Data, Security and Data Ingress/Egress.
• Ability to communicate complex ideas which “tells a story” to support Adobe’s POV and/or recommendation to technical, marketing and C-Suite audiences
• Ability to quickly diagnose challenges and opportunities and produce a future state architecture.
• Strong written and verbal communications skills with particular expertise in PowerPoint and Lucid Chart/Visio
• Bachelor's degree in Computer Science (CS), Digital Marketing or MBA or equivalent experience

Skills that Set You Apart

• One or more current Adobe Certified Expert certifications in Adobe (AEP, AJO, Analytics/CJA, RTCDP, Target or Workfront)
• Recent experience building enterprise level return on investment focused Business Cases for technology transformations
• Hands-on experience architecting and/or delivering native, Flutter or React-Native mobile applications

• Familiarity and usage of generative AI solutions