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Customer Data Platform Jobs (NOW HIRING)

Hudson Automotive Group

Data Architect

Charleston, SC · On-site +1

$60.50 - $78/hr

Design and build a centralized Customer Data Platform (CDP) that creates a unified customer view across multiple data sources. * Manage and optimize the enterprise Qlik Sense environment and related ...

Hudson Automotive Group

Data Architect

Charleston, SC

$60.50 - $78/hr

Design and build a centralized Customer Data Platform (CDP) that creates a unified customer view across multiple data sources. * Manage and optimize the enterprise Qlik Sense environment and related ...

Hudson Automotive Group, Inc

Data Architect

$65.25 - $84/hr

Design and build a centralized Customer Data Platform (CDP) that creates a unified customer view across multiple data sources. * Manage and optimize the enterprise Qlik Sense environment and related ...

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 ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/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 ...

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Customer Data Platform information

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$23.5K

$107.6K

$188.5K

How much do customer data platform jobs pay per year?

As of Jul 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 job?

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 are the key skills and qualifications needed to thrive in the Customer Data Platform position, and why are they important?

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 are the typical daily responsibilities of someone working in a Customer Data Platform (CDP) role?

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.

More about Customer Data Platform jobs
What cities are hiring for Customer Data Platform jobs? Cities with the most Customer Data Platform job openings:
What are the most commonly searched types of Customer Data Platform jobs? The most popular types of Customer Data Platform jobs are:
What states have the most Customer Data Platform jobs? States with the most job openings for Customer Data Platform jobs include:
What job categories do people searching Customer Data Platform jobs look for? The top searched job categories for Customer Data Platform jobs are:
Customer Data Platform jobs near you
Infographic showing various Customer Data Platform job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 20% 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.
Data Platform Engineer

Data Platform Engineer

Jms Technical Solutions

Indianapolis, IN • On-site

$80 - $85/hr

Contractor

Posted 12 days ago

Job description

25th June, 2026
Our client in Indianapolis, IN, is looking for a contract Data Platform Engineer to join their team!
This is a hybrid/full-time/12-month contract position
Hourly range based on experience: $80-$85/HR
Our client is looking for a Data Platform Engineer to help us support their continued growth. The Data Platform Engineer is responsible for building, implementing, and maintaining technical solutions that align with best-practice standards and client needs. Working closely with Data Architects, they provide technical execution and development support within Salesforce.com and other SaaS applications to support business and product strategies, with a heavy emphasis on maximizing the Salesforce Data 360 (D360) ecosystem.
A Data Platform Engineer participates in discovery sessions to understand client processes and challenges, translating documented solution designs into functional technical requirements and production-ready implementations. They provide collaborative execution and clear communication to the project and client team members to build a foundation for a trusted technical partnership.
Role Responsibilities:
  • Data Architecture & Infrastructure Implementation
    • Enterprise D360 Harmonization: Implement and maintain data structures that align with business needs, leveraging Salesforce Data 360 (D360) capabilities for unified profile management, data democratization, and real-time activation.
    • Modern Cloud Integration: Build and deploy data solutions that bridge enterprise cloud data platforms (Data Lakes/Warehouses) with the Salesforce ecosystem to address specific business needs, such as Business Intelligence (BI), ETL/ELT, and AI/ML initiatives.
    • Legacy Migration: Execute the migration, ingestion, and mapping of customer data from legacy systems and siloed databases into the Salesforce D360 platform.
    • Governance & Trust: Configure and maintain data accessibility, data privacy, granular security controls, and compliance with relevant regulations (e.g., GDPR, CCPA) and industry standards within the customer data ecosystem.
  • Data Modeling & Pipeline Engineering:
    • Ingestion & Streaming Pipelines: Develop, deploy, and maintain real-time streaming and batch data pipelines for ingesting, transforming, and loading high-volume enterprise data into Salesforce D360 from various cloud sources and APIs.
    • D360 Identity Resolution: Build and support scalable data models and metadata architectures within Salesforce D360, implementing identity resolution rules, reconciliation rules, and unified data graphs as designed.
    • Performance Optimization: Monitor, troubleshoot, and optimize query performance, calculated insights, identity resolution runs, and data transformation processes within the Salesforce D360 and underlying lakehouse environments.
  • Technical Execution and Collaboration:
    • Cross-Functional Collaboration: Collaborate actively with key stakeholders-including business users, data engineers, data scientists, and CRM IT teams-to understand technical specifications and deliver unified data solutions.
    • Ecosystem Implementation: Help evaluate, test, and integrate appropriate tools, connectors, and zero-copy/Zero-Data-Movement technologies for seamless data integration, transformation, and activation within the Salesforce D360 ecosystem.
    • Technical Guidance: Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams.

Experience/Skills Required:
  • Experience: 3+ years of experience in data engineering, technical consulting, or database development for cloud data platforms with multiple enterprise workstreams.
  • Salesforce D360 (Data Cloud) Capabilities: Strong working knowledge of the data cloud architecture, including data models (DMOS, DSOs), identity resolution, data spaces, calculated insights, and activation targets.
  • Modern Data Methods: Familiarity and alignment with modern data architecture methods, including lakehouse architecture, zero-copy data sharing, and real-time data activation.
  • Broad Data Ecosystem Experience: Hands-on experience with enterprise database technology, cloud data warehouses (e.g., Snowflake, Databricks), ETL/ELT tools, data engineering pipelines, and data science principles.
  • Strong Communication: Excellent verbal and presentation abilities, capable of effectively communicating technical engineering concepts and data updates to stakeholders and team members.
  • Technical Tooling & Development: Strong proficiency with data-centric programming languages (such as SQL and Python) as well as Salesforce application development components (Apex, Flow, LWCs, MuleSoft).
  • Engineering Patterns: Solid understanding of enterprise architecture patterns, API management, and real-time data streaming technologies (e.g., Kafka, Amazon Kinesis).
  • Structured Data Modeling: Practical experience with data modeling methodologies (such as Kimball dimensional modeling, Star/Snowflake schemas, or Medallion Bronze/Silver/Gold structures) and mapping them into a canonical Customer 360 model.
  • US Authorization: Must have full-time permanent US work authorization.

Additional Preferred Experience/Skills:
  • Bachelor's Degree preferred, or equivalent experience.
  • Salesforce Certified Data Cloud Consultant or Accredited Professional designations.
  • Hands-on experience with core Salesforce CRM technology like Sales Cloud, Service Cloud, or Industry Clouds (e.g., Financial Services Cloud, Health Cloud).
  • Hands-on experience deploying AI/ML solutions like Salesforce Einstein, AWS Sagemaker, or Google Vertex AI, alongside a solid understanding of Generative AI patterns (e.g., Retrieval-Augmented Generation / RAG).
  • Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Hands-on expertise with analytics and visualization tools like Tableau, CRM Analytics, Power BI, or Looker.
  • Open to travel based on client and business demands.

We are an equal-opportunity employer. We do not discriminate in hiring or employment against any individual based on race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.

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