Adobe Experience Platform Senior Developer

TATA Consulting Services•Seattle, WA

40d

About The Position

Adobe Experience Platform Senior Developer Must Have Technical/Functional Skills: Adobe AEP ( RT-CDP, Identity Profile), WebSDK Exposure to Integration of APIs or Adobe Experience Cloud Products with AEM like Target, Analytics, AEM Forms, DTM AEM aacs, AEM 6.5x , HTML, CSS, JS scripts, Integrations Integration with Web Services -SOAP, REST Architecting Experience in AEP Data Schema, SIP Process Ingestion, Data Modeling, Identity Profile Models CI/CD Cloud Manager, will be plus Good Knowledge in Data Management Platforms, Datalake, Data Schema Data Normalization, Harmonization, Data Quality Standards, etc. Mareting Concepts - Behavioral data, CRM Data, other Any of the Certification ( All or AEP and Analytics) Specifications is must have. ADOBE REAL-TIME CDP- AD0-E605 Adobe Real-Time CDP Developer Expert ADOBE REAL-TIME CDP - AD0-E602 Adobe Real-Time CDP Business Practitioner Professional AD0-E606 Adobe Journey Optimizer Developer Expert AD0-E607 Adobe Journey Optimizer Business Practitioner Professional AD0-E406 Adobe Target Business Practitioner Expert AD0-E410 Adobe Target Optimization Specialist Professional AD0-E208 Adobe Analytics Business Practitioner Expert Roles & Responsibilities Part of Large scale AEP ( CDP) implementation projects Prepare detailed technical design for various templates, components as well as services layer Effectively communicate architecture and design to clients and rest of the development team Direct technical teams in developing client solutions Identifies, assesses and solves complex business problems through in-depth evaluation of variable factors Closely follows the strategic direction set by senior management when establishing near term goals Acts independently to determine methods and procedures on new assignments Ability to define and translate business objectives (growth, retention, personalization) into actionable data and AI strategies. Understanding how data from commerce, marketing, and content systems drives unified, omnichannel experiences. Skill in quantifying business impact of AI and analytics use cases (e.g., uplift, cost savings, conversion gains). Experience engaging CMO, CDO, and CIO stakeholders to shape vision, roadmap, and governance. Ability to drive organizational readiness and help clients embed data-driven decision-m aking into their operating models. Expertise in connecting Commerce, CMS, CDP, and Marketing platforms using APIs, ETL, and event-driven architectures. Deep understanding of audience segmentation, identity resolution, and activation flows across tools like Adobe, Salesforce, or Segment. Proficiency with Azure, AWS, or GCP for data orchestration, AI model deployment, and analytics pipelines. Familiarity with predictive modeling, recommendation systems, and NLP applications for personalization and insights. Strong grasp of data quality, privacy (GDPR, CCPA), and ethical AI frameworks within marketing and commerce contexts. Good to have, If any Architecting Data Schema, SIP Process in RT-CDP Design, Develop and Configure the Data Ingestion process using Steaming Service, Batch Service and Edge Services Knowledge in Integrating and developing script for other Data lake Platforms, BI Platforms and iPaaS (Dell Boomi, MuleSoft, Apigee, WebSDK) Knowledge on other Adobe products - Adobe Analytics, Customer Journey Analytics, Adobe Target, Marketo or Adobe Campaign or SFMC, etc. Contribute to thought leadership and pre-sales efforts - shaping proposals, solution frameworks, and client workshops. Good Presentation and communication skills Maven, Git, Jenkins, Sonar etc. & CICD environment Experience developing systems using Agile methodologies Experience in documenting use cases, system test scripts, and user acceptance test scripts Knowledge of Business Analysis modeling tools (e.g. Activity Diagrams, Process Flows, State Diagrams) Consulting experience Advise clients on data and AI strategies that enhance customer experience, personalization, and commercial performance. Design and orchestrate data ecosystems spanning Commerce, CMS, Marketing Automation, and CDP platforms (e.g., Adobe, Salesforce, SAP, Bloomreach). Translate business challenges into AI use cases, from predictive analytics and recommendation engines to next-best-action and content intelligence. Collaborate with cross-functional teams (CX, MarTech, Data Engineering, Cloud) to architect scalable and compliant data solutions. Enable data-driven decisioning through dashboards, KPI, and insight frameworks that connect marketing and commerce performance. Stay ahead of innovation by assessing emerging AI technologies, data privacy trends, and experience-led commerce tools. Soft skills Communication: Excels at both written and verbal communication to present ideas clearly, write compelling copy, and build relationships with clients and stakeholders. Project management: Manages project scope, timelines, and budgets efficiently, especially during complex initiatives like a CMS migration. Analytical and problem-solving: Demonstrates the ability to break down complex problems and create data-driven solutions. A consultant must be objective and use research to identify issues and form hypotheses. Adaptability: Navigates different industries and client needs with ease, adjusting to evolving market conditions and new technologies. Leadership and collaboration: Guides teams, builds consensus among diverse stakeholders, and manages change with a focus on people. Architectures and implementation to ensure adherence to business requirements, technology standards, best practices, business strategies Onsite and Offshore team coordination with client

Requirements

Adobe AEP ( RT-CDP, Identity Profile), WebSDK
Exposure to Integration of APIs or Adobe Experience Cloud Products with AEM like Target, Analytics, AEM Forms, DTM
AEM aacs, AEM 6.5x , HTML, CSS, JS scripts, Integrations
Integration with Web Services -SOAP, REST
Architecting Experience in AEP Data Schema, SIP Process Ingestion, Data Modeling, Identity Profile Models
CI/CD Cloud Manager, will be plus
Good Knowledge in Data Management Platforms, Datalake, Data Schema
Data Normalization, Harmonization, Data Quality Standards, etc.
Mareting Concepts - Behavioral data, CRM Data, other
Any of the Certification ( All or AEP and Analytics) Specifications is must have.
ADOBE REAL-TIME CDP- AD0-E605 Adobe Real-Time CDP Developer Expert
ADOBE REAL-TIME CDP - AD0-E602 Adobe Real-Time CDP Business Practitioner Professional
AD0-E606 Adobe Journey Optimizer Developer Expert
AD0-E607 Adobe Journey Optimizer Business Practitioner Professional
AD0-E406 Adobe Target Business Practitioner Expert
AD0-E410 Adobe Target Optimization Specialist Professional
AD0-E208 Adobe Analytics Business Practitioner Expert
Communication: Excels at both written and verbal communication to present ideas clearly, write compelling copy, and build relationships with clients and stakeholders.
Project management: Manages project scope, timelines, and budgets efficiently, especially during complex initiatives like a CMS migration.
Analytical and problem-solving: Demonstrates the ability to break down complex problems and create data-driven solutions. A consultant must be objective and use research to identify issues and form hypotheses.
Adaptability: Navigates different industries and client needs with ease, adjusting to evolving market conditions and new technologies.
Leadership and collaboration: Guides teams, builds consensus among diverse stakeholders, and manages change with a focus on people.

Nice To Haves

Architecting Data Schema, SIP Process in RT-CDP
Design, Develop and Configure the Data Ingestion process using Steaming Service, Batch Service and Edge Services
Knowledge in Integrating and developing script for other Data lake Platforms, BI Platforms and iPaaS (Dell Boomi, MuleSoft, Apigee, WebSDK)
Knowledge on other Adobe products - Adobe Analytics, Customer Journey Analytics, Adobe Target, Marketo or Adobe Campaign or SFMC, etc.
Contribute to thought leadership and pre-sales efforts - shaping proposals, solution frameworks, and client workshops.
Good Presentation and communication skills
Maven, Git, Jenkins, Sonar etc. & CICD environment
Experience developing systems using Agile methodologies
Experience in documenting use cases, system test scripts, and user acceptance test scripts
Knowledge of Business Analysis modeling tools (e.g. Activity Diagrams, Process Flows, State Diagrams)
Consulting experience
Advise clients on data and AI strategies that enhance customer experience, personalization, and commercial performance.
Design and orchestrate data ecosystems spanning Commerce, CMS, Marketing Automation, and CDP platforms (e.g., Adobe, Salesforce, SAP, Bloomreach).
Translate business challenges into AI use cases, from predictive analytics and recommendation engines to next-best-action and content intelligence.
Collaborate with cross-functional teams (CX, MarTech, Data Engineering, Cloud) to architect scalable and compliant data solutions.
Enable data-driven decisioning through dashboards, KPI, and insight frameworks that connect marketing and commerce performance.
Stay ahead of innovation by assessing emerging AI technologies, data privacy trends, and experience-led commerce tools.

Responsibilities

Part of Large scale AEP ( CDP) implementation projects
Prepare detailed technical design for various templates, components as well as services layer
Effectively communicate architecture and design to clients and rest of the development team
Direct technical teams in developing client solutions
Identifies, assesses and solves complex business problems through in-depth evaluation of variable factors
Closely follows the strategic direction set by senior management when establishing near term goals
Acts independently to determine methods and procedures on new assignments
Ability to define and translate business objectives (growth, retention, personalization) into actionable data and AI strategies.
Understanding how data from commerce, marketing, and content systems drives unified, omnichannel experiences.
Skill in quantifying business impact of AI and analytics use cases (e.g., uplift, cost savings, conversion gains).
Experience engaging CMO, CDO, and CIO stakeholders to shape vision, roadmap, and governance.
Ability to drive organizational readiness and help clients embed data-driven decision-m aking into their operating models.
Expertise in connecting Commerce, CMS, CDP, and Marketing platforms using APIs, ETL, and event-driven architectures.
Deep understanding of audience segmentation, identity resolution, and activation flows across tools like Adobe, Salesforce, or Segment.
Proficiency with Azure, AWS, or GCP for data orchestration, AI model deployment, and analytics pipelines.
Familiarity with predictive modeling, recommendation systems, and NLP applications for personalization and insights.
Strong grasp of data quality, privacy (GDPR, CCPA), and ethical AI frameworks within marketing and commerce contexts.
Architectures and implementation to ensure adherence to business requirements, technology standards, best practices, business strategies
Onsite and Offshore team coordination with client

Benefits

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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