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Adobe Experience Platform Engineer

The Data Foundation for the Adobe Stack

Adobe Experience Platform (AEP) is the data backbone that powers Real-Time CDP, Journey Optimizer, Customer Journey Analytics, and more. Without a correctly architected AEP foundation — proper XDM schemas, ingestion pipelines, identity graphs, and governance policies — every downstream application underperforms. We place AEP engineers who have built production-grade platform foundations for enterprise Adobe stacks.

  • XDM schema design, dataset configuration, batch and streaming data ingestion pipelines
  • Identity graph setup, data governance policies, and Experience Platform API integration
  • We screen for practical depth, not just certifications
  • Contract, contract-to-hire, or full-time — your choice
  • US and Canada talent. Shortlist in 5–10 business days.
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About CRM Force

Boutique means something different when the person who built the company has done the work.

Saad Ahmed, Founder of CRM Force
Founded by a practitioner

Saad Ahmed spent 20 years as a CRM consultant, solution architect, and implementation lead — building marketing automation and CRM systems for clients from start-ups to publicly traded enterprises. He founded CRM Force to bring practitioner-led vetting to a space dominated by generalist agencies.

Two-step vetting

Every candidate goes through a two-step internal qualification process — reviewed by two separate evaluators before they reach you. We confirm experience, certifications, technical depth, and fit. You receive a shortlist, not a resume dump.

What we place

CRM consultants, architects, developers, and admins. Marketing automation specialists. RevOps leaders, business analysts, and project managers. If it touches the CRM or marketing technology stack, we place it. Contract, contract-to-hire, and direct hire — across all seniority levels.

We Recruit for You

Three reasons companies choose us over a traditional recruiter — and what makes the difference in practice.

Vetted by Someone Who Has Done the Work

Saad Ahmed, founder of CRM Force, spent 20 years as a CRM Consultant and Solution Architect — building HubSpot implementations, designing data models, and running client engagements himself. When he reviews a candidate for your role, he is not reading a job description. He is evaluating whether someone can do work he has done himself. That distinction matters.

No Resume Dumps. A Shortlist You Can Act On.

You receive 3 to 5 pre-vetted candidates, each with our written assessment — why we believe they fit your role, where they are strong, and what to probe in the interview. Our internal process puts every candidate through two separate evaluation stages before they reach you. You only meet people who have cleared the bar.

Three Engagement Models. One Standard.

Contract for short and long-term engagements. Contract-to-hire when you want to try before you commit. Direct placement for permanent roles. Every model includes the same sourcing, multi-stage screening, skills assessment, and reference validation. The delivery vehicle changes — the standard does not.

Our Recruitment Process

Four steps from brief to shortlist — no surprises, no padding, no wasted interviews.

We Learn Your Requirements

A focused role briefing call — not a generic intake form. We ask about portal size, Hub configuration, seniority level, technical depth required, team structure, and what a genuinely great candidate looks like for your specific situation. The brief matters more than most clients expect.

We Search Our Network

We work our pre-built database of CRM and HubSpot professionals alongside targeted outreach to passive candidates who are not actively applying. The majority of the people we present are not on job boards — they are available to the right opportunity, if the right person asks.

You Receive a Shortlist

Typically 3 to 5 pre-vetted candidates, each with our written assessment — not just a resume. We tell you why we believe each person is right for your specific role, where they are strong, and what you should probe in the interview. You decide who moves forward.

We Support You to Offer

We coordinate interviews, facilitate debriefs, provide market-rate compensation benchmarks, and support you through the offer stage. The search does not end when we send the shortlist — it ends when you have the right person in the role.

Find an Adobe Experience Platform Engineer

We place CRM and Marketing Automation professionals across the US and Canada.

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Industries We Serve

Adobe Experience Platform engineers are placed at enterprises running full Adobe stack deployments — typically in retail, financial services, media, and B2B SaaS where unified customer data at scale drives measurable business outcomes. We work with organizations of all sizes — from growth-stage startups to publicly traded enterprises — across all major industries.

Information Technology
Health Care
Financials
Consumer Discretionary
Communication Services
Industrials
Consumer Staples
Energy
Real Estate
Materials
Utilities

Not sure what you need? We can help you define the role.

One conversation is usually enough. No commitment required.

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When You Need an Adobe Experience Platform Engineer

A few things we hear from clients before they reach out.

  • Designing and building the XDM schema foundation for a new AEP deployment
  • Configuring batch and streaming data ingestion from cloud data warehouses, CRM, and analytics systems
  • Setting up identity namespaces and the identity graph for deterministic profile stitching
  • Implementing data governance labels, policies, and consent enforcement across the platform
  • Integrating Experience Platform with downstream applications via the AEP REST API and event forwarding

How We Vet Adobe Experience Platform Engineers

AEP engineering is data engineering with Adobe-specific architecture constraints. We test both dimensions.

XDM Schema Architecture We confirm candidates can design person, event, and B2B class schemas with appropriate field groups, required identity fields, and relationships — going beyond pre-built templates to custom schema design for complex data models.
Data Ingestion Engineering We test hands-on experience with batch ingestion (CSV, Parquet, JSON via source connectors or direct upload), streaming ingestion via HTTP API or Kafka, and monitoring ingestion health in the UI and via API.
Identity Graph Configuration We evaluate depth of experience defining identity namespaces, configuring deterministic vs probabilistic identity stitching, and designing merge policies for profile fragmentation scenarios.
Platform API Proficiency We verify candidates can interact with AEP via the REST API — schema management, dataset CRUD, ingestion batch creation, segment evaluation, and profile lookup — without depending entirely on the UI.

Red Flags to Watch For

  • Only worked in the AEP UI — no API or programmatic data ingestion experience
  • Cannot design an XDM schema from scratch — only used Adobe-provided field group templates
  • No understanding of identity graph design — treats identity stitching as automatic
  • Has used Real-Time CDP without understanding the underlying AEP platform it runs on

Whatever your sector, we know CRM talent.

Tell us about the role and we will get back to you within one business day.

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AEP Engineering Specialisations We Place

Adobe Experience Platform engineers span data modelling, ingestion, identity, and governance.

Schema & Data Modelling

XDM schema design for person, event, and B2B classes with custom field groups and relationship definitions.

Ingestion Engineering

Batch and streaming data pipeline design for cloud data warehouses, CRM, analytics, and event sources.

Identity Graph Design

Namespace strategy, deterministic stitching, merge policies, and profile fragmentation resolution.

Platform API Integration

AEP REST API automation for schema management, ingestion, segmentation, and profile operations.

Adobe Experience Platform Roles We Place

We place AEP engineers across data modelling, ingestion, and platform integration roles.

AEP Data Engineer

Designs XDM schemas, configures ingestion pipelines, and maintains data quality for production Experience Platform deployments.

  • XDM schema and dataset design
  • Batch and streaming ingestion
  • Data quality monitoring

AEP Identity Engineer

Owns the identity graph strategy — namespace design, stitching configuration, and merge policy governance.

  • Identity namespace design
  • Merge policy configuration
  • Profile fragmentation resolution

AEP Platform Architect

Designs the end-to-end AEP architecture including data governance, consent management, and downstream application integration.

  • Platform architecture design
  • Data governance and labelling
  • Downstream application integration strategy

Frequently Asked Questions

What is Adobe Experience Platform and why does it matter?
Adobe Experience Platform is the centralised data infrastructure that powers most of Adobe's enterprise applications — Real-Time CDP, Journey Optimizer, Customer Journey Analytics, and more. It stores unified customer profiles, manages identity resolution, enforces data governance, and provides the APIs and data pipelines that downstream applications depend on. A poorly implemented AEP foundation causes downstream performance issues across the entire Adobe stack.
What is the difference between an AEP engineer and a Real-Time CDP specialist?
An AEP engineer builds and maintains the platform foundation — schemas, ingestion pipelines, identity graphs, governance policies, and APIs. A Real-Time CDP specialist focuses on the audience segmentation and activation layer that runs on top of AEP. For enterprise deployments, both roles are needed — AEP engineers create the data foundation that CDP specialists use for activation.
What data sources can Adobe Experience Platform ingest from?
AEP supports batch ingestion from cloud storage (S3, Azure Blob, GCS), databases (Snowflake, BigQuery, Redshift), and CRM/marketing platforms (Salesforce, Marketo, Adobe Analytics). It also supports streaming ingestion via HTTP API, Adobe Launch event forwarding, and Kafka connectors — enabling real-time profile updates as events occur.
How long does a foundational AEP implementation take?
A production-ready AEP foundation — schema design, 2-4 source connectors, identity graph configuration, and basic governance — typically takes 10-16 weeks. More complex deployments with many data sources, custom ingestion pipelines, and strict governance requirements can extend to 6+ months.

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