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Customer Data Platform Jobs (NOW HIRING)

Computer Services, Inc.

Director - Data Platform

Drives a sense of urgency for platform and process improvement to meet and exceed internal and customer data requirements. * Applies lean principles to reduce pipeline cycle time and eliminate waste ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA - On-Site ( Hybrid) Position Description (General role information, job purpose, main objectives of the role) Marketing Data Engineer will be primarily working on Customer Data Platform ...

AI Chopping Block

Data Platform Engineer

Orlando, FL · On-site

$140 - $180/hr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

Worth

Data Platform Engineer

Orlando, FL · On-site

$120 - $180/hr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

ACI Infotech

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Integrate Customer Data Platform (CDP) with Enterprise Azure Cloud Data Lake using industry best practice * Integrate CDP with Web and Mobile applications * Custodian of Data Collection and ingestion ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

AI Chopping Block

$140 - $180/hr

Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers. As a Data Platform Engineer, you will design, build, and operate the core data ...

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Customer Data Platform information

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$188.5K

How much do customer data platform jobs pay per year?

As of Sep 7, 2026, the average yearly pay for customer data platform in the United States is $107,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What is a customer data platform?

A Customer Data Platform (CDP) job typically involves managing and optimizing a CDP system, which consolidates and structures customer data from multiple sources. Professionals in this role ensure data accuracy, segmentation, and activation for personalized marketing and customer experience. Responsibilities may include data integration, analytics, compliance, and collaboration with marketing and IT teams. Strong technical and analytical skills are essential, along with an understanding of customer behavior and data privacy regulations.

What does a customer data platform do?

A professional working in a Customer Data Platform (CDP) role typically spends their day managing and integrating customer data from various sources, ensuring data quality and compliance, and collaborating with marketing, analytics, and IT teams. They analyze customer behaviors and segments to provide actionable insights for targeted personalizations and campaigns. Daily tasks may also include troubleshooting data issues, configuring data pipelines, and optimizing the platform's performance. Close collaboration with stakeholders and frequent communication are required to align data initiatives with business objectives and ensure cross-functional success.

What are the key skills and qualifications needed to thrive in the customer data platform position?

To excel in a Customer Data Platform (CDP) role, strong expertise in data management, analytics, and customer relationship management is essential, often supported by a background in IT or marketing analytics. Familiarity with CDP software such as Salesforce, Segment, or BlueConic, along with knowledge of data integration tools and privacy regulations, is highly valuable. Strong problem-solving skills, communication, and collaboration abilities distinguish top performers in this position. These skills are crucial for effectively unifying and leveraging customer data to drive actionable business insights and personalized marketing efforts.

What is the best customer data platform?

A customer data platform (CDP) is a software that consolidates customer data from multiple sources to create unified customer profiles. The best CDPs, such as Salesforce Customer 360, Adobe Experience Platform, and Segment, offer robust data integration, real-time analytics, and compliance with data privacy regulations. Choosing the right platform depends on an organization’s specific needs, technical environment, and budget.
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Customer Data Platform jobs near you
Infographic showing various Customer Data Platform job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $107,552 per year, or $51.7 per hour.

Solution Architect, Customer Data

Knowit Training

Houston, TX • Hybrid

Full-time

Re-posted 15 days ago

Key responsibilities

  • Define and deliver solution architectures for customer data platforms, marketing automation, personalization, and attribution ecosystems.

  • Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, and analytics ecosystems.

  • Architect real-time and batch decisioning frameworks to enable scalable personalization, experimentation, and ML-driven customer engagement.

Job description

Responsibilities:  
  • Architecture & Design: Define and deliver solution architectures for CDP, Customer Master Data, Customer 360, marketing automation, personalization, and attribution ecosystems. Establish target-state architecture across CDP, Data Warehouse, and Customer Master Data with clear separation of concerns between data mastering, activation, and analytics. 
  • Integration: Ensure seamless connectivity between MarTech platforms, AdTech tools, data platforms, CMS/DAM systems, and analytics ecosystems. 
  • Identity & Governance: Define and govern identity resolution, enterprise customer ID strategy, and consent enforcement, ensuring compliance with privacy regulations and enterprise data policies. 
  • Personalization & Decisioning: Architect real-time and batch decisioning frameworks, enabling scalable personalization, experimentation, and ML-driven customer engagement. 
  • Data & Content Technology Strategy: Define standards for data flows, identity management, customer mastering approaches, and content governance across platforms. 
  • Retail Media & Activation: Enable first-party data activation across paid media and Retail Media Networks, supporting audience creation, targeting, and monetization. 
  • Vendor Strategy & Cost Optimization: Evaluate MarTech and AdTech platforms, drive build vs buy decisions, and optimize platform usage and cost, including CDP unit economics. 
  • Innovation & Strategy: Stay ahead of trends in MarTech, AdTech, AI, and analytics, recommending new technologies and approaches that drive measurable business outcomes. 
  • Governance & Oversight: Serve as design authority for customer data and marketing technology, ensuring scalability, security, compliance, and alignment with enterprise architecture standards. 
  • Collaboration: Partner with Marketing, Product, IT, Data Science, and vendors to align on roadmaps, define capability-driven Architecture models, and deliver reusable, scalable solutions. 

Qualification:  
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Or a realted field (Master's degree a plus)
  • 8+ years of experience in customer data, data engineering, or MarTech domains, with at least 3 years in marketing technology architecture, including personalization and customer engagement solutions 
  • MarTech data domain expert skilled in customer data, clickstream, identity resolution, segmentation, and activation across owned, paid, and partner channels. 
  • Proven expertise in CDP (COTS or in-house), Customer Master Data management, CRM/loyalty systems, and Customer 360 solutions. 
  • Experience defining identity resolution strategies (first-party, hybrid, and third-party) and understanding tradeoffs across CDP, data warehouse, and external identity providers. 
  • Experience implementing privacy, consent management, and data governance frameworks, including consent enforcement and data lineage. 
  • Experience designing architectures for personalization, ML decisioning, loyalty programs, closed-loop measurement, and attribution. 
  • Hands-on experience with marketing automation platforms (ESP/SMS/Push) integrated with customer data and analytics platforms. 
  • End-to-end experience across the MarTech and AdTech stack, spanning CDP, Customer Master Data, personalization engines, paid media platforms, analytics, attribution, and customer data activation. 
  • Background integrating CMS/DAM platforms with personalization and engagement ecosystems. 
  • Experience supporting Retail Media Networks (RMN), audience monetization, and paid media activation using first-party data. 
  • Experience evaluating and selecting MarTech/AdTech platforms, including build vs buy decisions and vendor architecture assessments. 
  • Skilled in high-volume, high-velocity data ingestion architectures (batch and streaming). 
  • Experience working with Data Science teams to operationalize ML models into customer-facing workflows. 
  • Exposure to AI-driven engagement, automation, and GenAI is considered a plus.   
  • Proficiency with MarTech/AdTech platforms such as Salesforce Marketing Cloud, Adobe Experience Cloud, Braze, HubSpot, Google Analytics, or similar ecosystems. 
  •  Customer Data: Customer Data Platforms, Customer Data Warehouse, Customer Master Data, Customer 360 
  • Identity Resolution: First-party, hybrid, and third-party identity graphs, deterministic and probabilistic matching 
  • Marketing Platforms: ESP/SMS/Push, CRM, CMS/DAM, personalization, and decisioning engines 
  • AdTech/Media: Paid media platforms, attribution frameworks, Retail Media Networks, audience activation 
  • Cloud Platforms: GCP preferred (AWS/Azure acceptable) 
  • Integration Patterns: APIs, microservices, event-driven architectures (Kafka, Pub/Sub) 
  • Data Platforms: Data lakes, data warehouses, Lakehouse patterns, structured and unstructured databases 
  • Customer Data Governance: Consent management, data lineage, auditability, data contracts 
  • Architecture Strategy: Build vs buy evaluation, platform scalability, cost optimization, real-time vs batch tradeoffs 
  • AI/GenAI adoption: Leveraging AI/GenAI across marketing use cases and software development to drive personalization, automation, and engineering efficiency. 
  • Process Automation: DevOps, AIOps & automation frameworks for Martech 
  • Excellent communication and presentation skills with the ability to simplify complex concepts for business and executive stakeholders. 
  • Strong problem-solving, creativity, and ability to balance technical rigor with business value.