
501 - 1000 employees
Founded 2003
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 Private Equity Round on 2021-08
Consulting • Healthcare • Marketing
Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success.
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501 - 1000 employees
Founded 2003
💼 Consulting
🏥 Healthcare
📣 Marketing
💰 Private Equity Round on 2021-08
Consulting • Healthcare • Marketing
Bounteous is a digital solutions firm known for its co-innovation model, which assists leading brands in navigating digital transformations and enhancing user experiences. The company partners with businesses from various sectors such as financial services, healthcare, telecommunications, retail, and convenience, to deliver data-driven solutions. Bounteous offers expertise in areas including artificial intelligence, data analytics, digital commerce, and cloud enablement, helping its clients harness technology for sustained growth and brand loyalty. With a global presence, Bounteous is dedicated to creating personalized and effective digital strategies that drive business success.
• Design end-to-end Adobe Experience Platform (AEP) and Real-Time CDP (RT-CDP) solutions aligned with business objectives • Define scalable architecture for customer data collection, storage, processing, and activation • Develop technical solution designs, architecture diagrams, and implementation roadmaps • Design and implement unified customer profiles using Real-Time CDP • Configure identity resolution, profile stitching, and audience segmentation • Architect batch and streaming data ingestion into AEP • Design integrations with CRM, ERP, CMS, marketing automation platforms, data warehouses, and third-party applications • Develop and review API-based integrations and event-driven data pipelines • Design and maintain XDM schemas • Establish data governance, data quality, metadata management, and consent management processes • Ensure compliance with privacy regulations such as GDPR and CCPA • Integrate AEP with AEM, Adobe Analytics, Adobe Target, AJO, and Adobe Campaign • Enable omnichannel customer experiences and personalized marketing campaigns • Lead architecture discussions and provide technical guidance to development teams • Review technical designs, code, and implementation approaches • Mentor developers and support best practices for Adobe implementations • Optimize platform performance, scalability, and reliability • Monitor data ingestion, profile processing, and audience activation • Troubleshoot architecture and integration issues • Implement secure data access, encryption, authentication, and authorization mechanisms • Ensure adherence to enterprise security standards and regulatory compliance • Work with business stakeholders, product owners, marketing teams, and technical teams to translate business requirements into scalable technical solutions • Present architecture recommendations and implementation strategies to leadership
• 8–15+ years of IT experience • 3–5+ years working with Adobe Experience Platform, Real-Time CDP, or enterprise Customer Data Platforms in an architecture or lead role • Experience with Adobe Experience Platform (AEP) • Experience with Adobe Real-Time Customer Data Platform (RT-CDP) • Experience with Adobe Experience Manager (AEM) • Experience with Adobe Journey Optimizer (AJO) • Experience with Adobe Analytics • Experience with Adobe Target • XDM schema design • Identity Service and Profile Service • Audience segmentation • REST APIs • SQL • Java or Python • Cloud platforms such as AWS, Azure, or GCP • Data integration and ETL • CI/CD and DevOps concepts • Knowledge of data modeling, governance, security, compliance, performance optimization, and stakeholder collaboration
• Equal opportunity employer • Visa sponsorship for eligible candidates
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