Customer Journey Analytics Engineer

About the Role We are looking for an experienced Customer Journey Analytics (CJA) Engineer to design and deliver unified, cross-channel analytics that drive real business decisions. In this role, you will own the technical backbone of our customer insights platform — from tagging strategy and data ingestion through XDM modeling, data views, and executive-ready reporting. You will partner with marketing, product, and data science teams to turn raw behavioral data into a single, trustworthy source of truth about our customers. Key Responsibilities • Design, implement, and maintain Customer Journey Analytics (CJA) connections, data views, calculated metrics, filters, and derived fields. • Model XDM schemas, field groups, datasets, and identity maps in Adobe Experience Platform (AEP) to stitch online, offline, and app-based events into a unified customer view. • Lead end-to-end tagging strategy using Adobe Launch, Web SDK, and Mobile SDK, including event-driven data layer design and QA. • Build and maintain batch and streaming data ingestion pipelines via AEP sources, APIs, Kafka, or Kinesis. • Write performant SQL in AEP Data Distiller (or Snowflake, BigQuery, etc.) to enrich datasets, build derived attributes, and power downstream analytics. • Develop attribution models (rule-based and algorithmic), pathing, fallout/funnel, and cohort analyses to answer high-impact business questions. • Build dashboards and reports in Adobe Analysis Workspace, and secondary layers in Power BI, Tableau, or Looker as needed. • Partner with stakeholders to translate ambiguous business questions into measurable KPIs and analytical frameworks. • Establish governance, documentation, monitoring, and alerting for data quality, freshness, and accuracy. • Mentor analysts and engineers on CJA best practices and contribute to platform standards. Required Qualifications • 5+ years of hands-on experience in digital analytics, with at least 2–3 years focused on Adobe Customer Journey Analytics (CJA) and/or Adobe Analytics. • Deep expertise in Adobe Experience Platform (AEP), including XDM schemas, datasets, identity stitching, and data views. • Proven track record leading at least 2–3 end-to-end CJA implementations, from tagging strategy through data views and stakeholder enablement. • Strong SQL proficiency for querying large datasets in AEP Data Distiller, Snowflake, BigQuery, or similar warehouses. • Solid JavaScript skills for implementing tracking via Adobe Launch / Web SDK / Mobile SDK, including event-driven data layer design. • Experience integrating Adobe Analytics data, AEP event data, and offline/CRM data into unified CJA connections. • Proficiency in data modeling — designing XDM schemas, field groups, and identity maps for multi-source event stitching. • Experience with batch and streaming data ingestion using AEP sources, APIs, Kafka, or Kinesis. • Strong understanding of attribution modeling, pathing, fallout/funnel analysis, cohort analysis, and person-level vs. event-level analysis. • Ability to translate ambiguous business questions into measurable KPIs and analytical frameworks. • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Analytics, Marketing Analytics, or related field — or equivalent practical experience. Nice to Have • Adobe certifications such as Adobe Analytics Developer/Business Practitioner, CJA Expert, or AEP Data Architect. • Experience with Customer Data Platforms (Real-Time CDP, Segment, mParticle). • Familiarity with Python or R for statistical analysis, ML-driven segmentation, or custom attribution models. • Exposure to Adobe Journey Optimizer (AJO), Adobe Target, or other activation platforms downstream of CJA. • Knowledge of privacy regulations (GDPR, CCPA) and consent management platforms (OneTrust, Adobe Privacy Service). • Experience with cloud platforms (AWS, Azure, GCP) and orchestration tools (Airflow, dbt). • Master's degree in a quantitative discipline. What You Bring • Strong analytical and storytelling skills — the ability to turn data into clear narratives for executives. • Excellent communication across technical and non-technical audiences. • Self-directed, detail-oriented, and comfortable operating in ambiguous, fast-moving environments. • A collaborative mindset and bias toward building durable, well-documented systems.