Data Engineer (Adobe Experience Platform)

About this role

Job Description:

Copilot said:

🚀 Data Engineer (Adobe Experience Platform & RT-CDP) Build the data foundation powering next-generation customer experiences. Are you an Adobe Experience Platform expert who thrives at the intersection of data engineering, customer identity, activation, and AI? Do you enjoy building scalable data pipelines, solving complex integration challenges, and helping brands unlock the full power of their customer data? If so, we'd love to meet you. What You'll Do As a Data Engineer , you'll serve as a technical leader responsible for designing, developing, and optimizing enterprise-scale data solutions across Adobe Experience Cloud and modern cloud data platforms. You'll work with architects, product teams, data scientists, and client stakeholders to transform business requirements into production-ready data solutions that drive customer engagement, analytics, personalization, and activation. Key Responsibilities ✅ Design and implement data pipelines across Adobe Experience Platform (AEP), Real-Time CDP, cloud data warehouses, and activation channels ✅ Build and manage: • XDM schemas • Real-Time Customer Profiles • Identity resolution frameworks • Customer segmentation and audience activation strategies

✅ Develop scalable ingestion, transformation, and enrichment pipelines using: • SQL • Python • dbt • Apache Airflow • APIs and cloud-native integration tools

✅ Integrate Adobe Experience Platform with: • Adobe Journey Optimizer • Customer Journey Analytics • Adobe Experience Manager • Adobe Target • Adobe Mixed Modeler

✅ Ensure compliance, governance, consent management, and data quality across all solutions ✅ Partner with architects and stakeholders to deliver scalable, AI-ready customer data ecosystems ✅ Mentor junior engineers and contribute to engineering best practices What We're Looking For Required Experience • 2+ years of data engineering experience • Experience delivering client-facing data solutions and marketing technology implementations • Hands-on experience designing and deploying production-grade data pipelines • Strong expertise in Adobe Experience Platform (AEP) and Real-Time CDP • Deep SQL expertise including optimization, complex queries, CTEs, and window functions • Experience with Python, PySpark, Java, Scala, or similar technologies • Experience with data integration, APIs, cloud platforms, and data transformation frameworks • Strong understanding of: • Data governance • Consent management • GDPR / CCPA compliance • Data lineage and metadata management

Adobe Expertise Required • Adobe Experience Platform (AEP) • Real-Time CDP • Experience Data Model (XDM) • Identity Resolution • Real-Time Profiles • Audience Segmentation & Activation • Adobe ecosystem integrations

Additional Cloud Platform Expertise Deep experience in one or more of the following: • Snowflake • Databricks • Google BigQuery • Microsoft Fabric

⭐ Preferred Certifications (Highly Desired) Candidates with the following certifications will stand out: Adobe Certifications 🏆 Adobe Certified Expert (ACE) - Adobe Experience Platform 🏆 Adobe Certified Expert (ACE) - Real-Time CDP 🏆 Adobe Experience Platform Developer Certification 🏆 Adobe Data Architect Certification Cloud Certifications 🏆 Snowflake SnowPro Core or Advanced 🏆 Databricks Certified Data Engineer or Lakehouse Associate 🏆 Google Cloud Professional Data Engineer 🏆 AWS Certified Data Analytics Specialty Bonus Points For • Adobe Journey Optimizer experience • Customer Journey Analytics experience • AI/ML-enabled data solutions • GenStudio or Firefly exposure • Thought leadership within the Adobe or data engineering community • Conference speaking, blogging, or open-source contributions • Experience mentoring engineers and leading technical delivery

Why Join Us? You'll be joining a team that's helping some of the world's leading brands transform customer experiences through data, identity, analytics, AI, and activation. This isn't a traditional back-office data engineering role. You'll have the opportunity to: ✨ Architect enterprise-scale customer data solutions ✨ Work with cutting-edge Adobe and cloud technologies ✨ Build AI-ready data foundations ✨ Influence platform strategy and engineering best practices ✨ Mentor and develop future engineering talent ✨ Solve complex challenges that directly impact business outcomes If you're passionate about Adobe Experience Platform, customer data, identity, and modern cloud architecture, we'd love to hear from you.

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.   The annual salary range for this position is $94,000 - $155,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.   Benefits available with this position include: • Medical, vision, and dental insurance, • Life insurance, • Short-term and long-term disability insurance, • 401k, • Flexible paid time off, • At least 15 paid holidays per year, • Paid sick and safe leave, and • Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time of

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