Data Engineer AXP

Compunnel, Inc.; Louisville (KY); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading data solutions provider based in Kentucky is seeking a skilled Data Engineer to design, build, and optimize data pipelines for Adobe Experience Platform. The ideal candidate will have over 8 years of experience in data engineering, with strong skills in Python, SQL, and cloud platforms like AWS. Responsibilities include implementing real-time customer data solutions and ensuring compliance with privacy regulations. This is an opportunity to work collaboratively with cross-functional teams and drive personalized customer experiences.

Qualifications

• 8+ years in data engineering, ETL development, or data integration.
• 3–5 years in Adobe Experience Platform or similar CDP/MarTech ecosystems.
• 3–4 years in RT‑CDP covering data ingestion and audience activation.
• 1–3 years in CJA focusing on data preparation.

Responsibilities

• Design and maintain data ingestion pipelines into AEP.
• Implement RT‑CDP schemas and audience activation workflows.
• Prepare datasets for unified data models supporting analytics.
• Ensure data quality and compliance with privacy regulations.

Skills

Python

SQL

Scala

AWS

Azure

GCP

Data Modeling

Governance

Education

Bachelor’s or Master’s in Computer Science

Tools

Snowflake

BigQuery

Databricks

Job description

We are seeking a skilled Data Engineer with hands‑on experience in Adobe Experience Platform (AEP) and its core solutions — Real‑Time Customer Data Platform (RT‑CDP), Adobe Journey Optimizer (AJO), and Customer Journey Analytics (CJA).

The ideal candidate will design, build, and optimize scalable data pipelines that enable personalized customer experiences, real‑time activation, and advanced journey analytics.

This role involves close collaboration with data architects, marketers, and analysts to ensure high‑quality, compliant, and unified customer data flows across digital channels.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain robust data ingestion pipelines into AEP using batch and streaming sources.
• Adobe RT‑CDP Engineering: Implement RT‑CDP schemas, connectors, identity resolution rules, and audience activation workflows.
• Integration & Transformation: Work with APIs, ETL/ELT tools, and orchestration frameworks to enable data movement between AEP and enterprise systems (CRM, DWH, analytics).
• Adobe Journey Optimizer (AJO): Configure event datasets, triggers, and journey data pipelines for real‑time activation.
• Customer Journey Analytics (CJA): Prepare and integrate datasets for unified data models supporting cross‑channel analytics.
• Data Quality & Governance: Ensure accuracy, consistency, and compliance with privacy regulations (GDPR, CCPA, HIPAA).
• Collaboration: Partner with Adobe architects and marketing teams to translate business requirements into scalable solutions.
• Performance Optimization: Optimize ingestion, storage, and query performance within AEP and cloud environments.
• Documentation & Automation: Maintain technical documentation and automate workflows using scripts and cloud‑native tools.

Required Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• Experience: 8+ years in data engineering, ETL development, or data integration.
• 3–5 years in Adobe Experience Platform or similar CDP/MarTech ecosystems.
• 3–4 years in RT‑CDP (data ingestion, XDM schema, identity resolution, audience activation).
• 2–3 years in AJO (real‑time triggers, event datasets).
• 1–3 years in CJA (data preparation and linking datasets).

Technical Skills

• Programming: Python, SQL, or Scala (3–5 years).
• Cloud Platforms: AWS, Azure, or GCP (S3, Snowflake, BigQuery, Databricks).
• Data Modeling & Governance: Privacy compliance frameworks.

Preferred Qualifications

• Adobe Certified Professional or Expert in RT‑CDP, AJO, or CJA.
• Experience integrating Adobe Experience Cloud with CRM, CMS, and DMP platforms.
• Familiarity with JSON, Parquet, Avro formats.
• Knowledge of CI/CD practices and Git‑based version control.
• Strong communication and problem‑solving skills.
• Comfortable working in Agile, cross‑functional teams.