CDP Data Engineer

2 days ago

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Bounteous

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Enterprise • SaaS • Artificial Intelligence

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.

501 - 1000 employees

Founded 2003

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-08

📋 Description

• Refine, implement, configure, and maintain XDM schemas, datasets, and dataset mappings within Adobe AEP and RTCDP. • Implement and transform data using ingestion pipelines including batch, streaming, SDK and API, ensuring all adhere to architectural and privacy standards and real-world data mappings. • Work with the Solution Architect to implement data transformations, data prep rules, and identity stitching logic. • Enable datasets for Profile, ensuring data quality, completeness, and consistency. • Build and maintain identity resolution frameworks, including namespaces, linkages, and profile merging. • Assist with segmentation readiness by validating attributes, events, audiences, and identity availability. • Configure destination connectors and support activation flows across marketing and analytics ecosystems. • Develop and execute data validation processes including anomaly detection, schema validation, and identity checks. • Troubleshoot ingestion failures, mapping errors, identity conflicts, and segmentation issues. • Maintain documentation for data flows, datasets, mappings, and governance controls. • Configure and manage AEP sandboxes for development, testing, and production environments. • Partner with privacy and governance teams to implement role based access, consent management, and compliance workflows. • Work with Consultants, Data Scientists, and Analysts to write queries and enable segmentation, reporting, and ML model readiness. • Integrate RTCDP with downstream systems for activation across marketing, analytics, and personalization platforms. • Assist marketing activation teams in ensuring proper data availability for audiences and personalization. • Support CDP Architect in designing scalable, governed data models and ingestion frameworks. • Contribute to continuous improvements in CDP automation, process efficiency, and operational best practices.

🎯 Requirements

• 3 to 5 or more years of experience in data engineering, MarTech engineering, or CDP operations. • 2 or more years of hands-on Adobe RTCDP experience, including ingestion, transformation, identity resolution, and activation. • Working knowledge of core Adobe services, such as Adobe Source Connectors, Streaming & Batch Ingestion, Data Prep and Query Service. • Strong understanding of XDM schemas, dataset configuration, and Profile enablement. • Proficiency in SQL and familiarity with ETL or ELT processing, data pipelines, and cloud based data platforms. • Experience with APIs, Adobe I/O Runtime, Web SDK, and streaming data ingestion. • Proficient in programming languages such as Python, JavaScript, or SQL. • Familiarity with cloud platforms such as AWS, GCP, or Azure. • Experience with Snowflake, Salesforce CDP, Segment, Redshift, or BigQuery is a plus. • Working knowledge of consent, privacy, and data governance structures including GDPR and CCPA. • Experience in Adobe Experience Cloud (AJO, Analytics, Target) is preferred but not required. • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.