Blue Acorn iCi Logo

Blue Acorn iCi

RTCDP Engineer

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
90K-150K Annually
Mid level
Remote
Hiring Remotely in United States
90K-150K Annually
Mid level
The Adobe RTCDP Engineer designs, implements, and validates solutions for customer data platform integration and audience segmentation, ensuring data quality and collaboration across Adobe applications.
The summary above was generated by AI

Adobe Real-Time CDP (RTCDP) Engineer

Position Overview

The Adobe Real-Time CDP Engineer is a hands-on engineering role responsible for designing, implementing, and validating Adobe Real-Time Customer Data Platform (RTCDP) solutions that power segmentation, activation, personalization, and downstream orchestration across Adobe Experience Platform and Adobe Experience Cloud applications.

This role focuses on building and maintaining the data and identity foundation that enables unified customer profiles and high-quality audience activation across Adobe Journey Optimizer (AJO), Marketo, Adobe Experience Manager (AEM), Customer Journey Analytics (CJA), and external destinations.

You will work closely with Enterprise Architects, AEP engineers, AJO and CJA consultants, and Adobe teams to translate requirements into scalable, governed, and performant CDP implementations.

Key ResponsibilitiesRTCDP Implementation & Configuration
  • Configure RTCDP components including identity namespaces, datasets, schemas, and mapping workflows

  • Implement batch and streaming ingestion pipelines using Adobe sources, connectors, and APIs

  • Configure segment definitions, audience sharing, and activation readiness checks

  • Validate end-to-end data flow from ingestion → profile → segmentation → activation

Identity & Profile Architecture
  • Design and implement identity stitching strategies across CRM IDs, ECIDs, hashed emails, AAIDs, and other identifiers

  • Configure and validate identity graphs to ensure accurate stitching and profile completeness

  • Troubleshoot identity issues including profile fragmentation, namespace conflicts, and declining match rates

Data Modeling & Governance
  • Map CRM, behavioral, transactional, and event data to appropriate XDM classes and field groups

  • Implement data governance, consent enforcement, and data minimization rules for activation

  • Ensure data quality, normalization, deduplication, and schema consistency across datasets

Segmentation & Activation
  • Build and maintain RTCDP segments including rule-based, event-based, account-based, and streaming audiences

  • Configure and test activation destinations such as:

    • Paid media platforms

    • Email and marketing automation tools

    • Cloud and file-based export destinations

  • Validate activation accuracy, latency, and downstream audience performance

Cross-Solution Collaboration
  • Partner with AEP engineers to align schemas, datasets, and identity requirements

  • Work with AJO teams to ensure journeys and decisioning logic receive accurate audience inputs

  • Support CJA teams by aligning profile and event datasets for reporting and analysis

  • Collaborate with client and Adobe architects to ensure interoperability across systems

Quality, Testing & Delivery
  • Monitor ingestion success, data lineage, schema adherence, and governance compliance

  • Conduct QA across profiles, identities, segments, and activation endpoints

  • Identify and mitigate risks related to data completeness, identity match rates, or activation discrepancies

  • Produce technical documentation including mappings, runbooks, and implementation artifacts

Required Skills & ExperiencePlatform Expertise
  • Adobe Real-Time CDP (core implementation and configuration)

  • Adobe Experience Platform (schemas, datasets, identities, sources)

  • Adobe Journey Optimizer (audience sharing and orchestration inputs)

  • Customer Journey Analytics (dataset readiness and alignment)

  • Familiarity with AEM Assets where metadata-driven segmentation applies

Data & Technical Expertise
  • Identity stitching and profile unification strategies

  • XDM schema design and mapping

  • Event-to-profile data linkage

  • Data governance, privacy, and consent enforcement

  • Batch and streaming ingestion pipelines

Integration & Solution Experience
  • Integrations with CRM platforms, ad platforms, Marketo, ESPs, Workfront, and web/mobile analytics tools

  • Experience with AEP Query Service and Data Distiller for analysis and troubleshooting

Preferred Qualifications
  • Strong SQL and data troubleshooting skills

  • Experience with cloud platforms (AWS, Azure, or GCP)

  • Background in enterprise MarTech and CDP ecosystems
    The base salary range for this position is $90,000 – $150,000 annually. Actual compensation may vary depending on experience, qualifications, geographic location, and other job-related factors.
     

Similar Jobs

15 Minutes Ago
Remote or Hybrid
United States
212K-265K Annually
Entry level
212K-265K Annually
Entry level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Own product strategy and roadmap for high-priority Coursera and Udemy platform areas, including AI-powered content creation experiences. Lead products from ideation through launch, partner with Engineering, Design, and Data, use customer insights and metrics to guide decisions, and deliver scalable learner and creator experiences. Mentor product peers and contribute to product organization excellence.
Top Skills: Agentic AiAIConversational AiFigmaGenerative AiJIRA
16 Minutes Ago
Remote or Hybrid
United States
190K-288K Annually
Expert/Leader
190K-288K Annually
Expert/Leader
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
The Chief of Staff supports the Enterprise GM by driving multi-year strategy, cross-functional alignment, resource allocation, operating-model design, governance, and organizational transformation. The role provides executive-level counsel, synthesizes insights across business areas, coordinates strategic initiatives, improves collaboration and operational excellence, and addresses systemic organizational challenges. Success requires influencing senior executives, managing complex stakeholder relationships, and executing company-level change across a global organization.
Top Skills: SaaS
16 Minutes Ago
Remote or Hybrid
United States
156K-209K Annually
Expert/Leader
156K-209K Annually
Expert/Leader
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Architect scalable data models and ELT pipelines using modern data lake technologies. Build self-service analytics products, establish enterprise data governance and observability standards, and lead data architecture across engineering teams. Partner with data scientists, product engineers, and business stakeholders to improve data literacy, identify root causes, and connect insights to business outcomes. Develop AI-enabled data tools and frameworks while providing technical leadership, mentorship, and direction for analytics engineering practices.
Top Skills: AirflowAWSClaudeCursorDatabricksDatahubDbtDelta LakeGeminiGreat ExpectationsLookerMonte CarloRedshiftSigmaSQL

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account