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Blue Acorn iCi

CJA/Web SDK Engineer

Reposted 24 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The CJA/Web SDK Engineer designs and maintains data collection systems for analytics. Responsibilities include implementing Adobe Web SDK, ensuring data quality, and collaborating with teams to optimize data flows.
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Position Overview

The CJA / Adobe Web SDK Engineer is responsible for designing, implementing, and maintaining data collection and event instrumentation that powers analytics, reporting, and personalization use cases across Adobe Experience Platform. This role focuses on Web SDK deployment, event modeling, data quality, and integration with downstream analytics and activation platforms.

You will collaborate closely with frontend engineers, data engineers, analytics teams, and platform architects to ensure reliable, governed, and performant data flows that support Customer Journey Analytics and broader Adobe Experience Cloud initiatives.

Key ResponsibilitiesWeb SDK Implementation & Event Instrumentation
  • Implement and configure Adobe Web SDK for web and digital experience data collection

  • Design and deploy event instrumentation aligned with business and analytics requirements

  • Validate event payloads, identity capture, and data collection accuracy

  • Maintain versioning, documentation, and governance of tracking implementations

Data Collection & Experience Event Engineering
  • Map digital interactions to XDM schemas and field groups

  • Configure and manage datastreams, tags, and environment promotion workflows

  • Ensure accurate identity and consent signals are captured and passed downstream

  • Optimize data capture strategies for performance and maintainability

Integration & Platform Enablement
  • Enable data flows into Adobe Experience Platform and Customer Journey Analytics

  • Support integrations with RTCDP, AJO, and other downstream consumers

  • Provide consistent data interfaces supporting reporting, segmentation, and personalization use cases

  • Collaborate with platform teams to align collection with enterprise data models

Data Quality, Governance & Performance
  • Monitor event data quality, completeness, and schema adherence

  • Troubleshoot collection gaps, duplication, latency, or identity issues

  • Implement governance and consent enforcement within collection configurations

  • Ensure observability and validation practices are embedded in deployment workflows

Collaboration & Delivery
  • Partner with frontend, analytics, and data engineering teams on instrumentation strategy

  • Participate in architecture discussions and contribute to collection standards

  • Support CI/CD-style deployment workflows for tags and configuration changes

  • Produce documentation for tracking plans, mappings, and implementation decisions

Required Skills & ExperiencePlatform & Implementation Skills
  • Hands-on experience implementing Adobe Web SDK

  • Experience with Adobe Experience Platform data collection and datastream configuration

  • Experience supporting Customer Journey Analytics datasets and reporting readiness

  • Strong understanding of digital analytics instrumentation practices

Data & Modeling
  • XDM schema mapping and event modeling

  • Understanding of identity capture and linkage strategies

  • Data quality validation and governance awareness

  • Familiarity with consent and privacy signal handling

Engineering Practices
  • Experience working within collaborative delivery workflows and version control practices

  • Familiarity with deployment lifecycle management for data collection/tagging environments

  • Strong troubleshooting and validation skills

Preferred Qualifications
  • Experience working within Adobe Experience Cloud ecosystems

  • Exposure to RTCDP or Journey Optimizer integrations

  • Understanding of event streaming or real-time data ingestion concepts

  • Experience supporting enterprise-scale analytics implementations

What Success Looks Like
  • Accurate and scalable Web SDK implementations

  • Clean, high-quality event data powering analytics and activation

  • Strong alignment between instrumentation, schemas, and reporting needs

  • High confidence from analytics and platform teams in data reliability

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