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Customer Data Platform Jobs in California (NOW HIRING)

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

Lead customer implementations and technical delivery, supporting new deployments, upgrades, and ... data platform solutions and driving best practices across Databricks and Fabric Who You Are

Monaco

Data Platform Engineer

San Francisco, CA · On-site

$200K - $400K/yr

Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack - CRM, ... The Role We're looking for a Data Platform Engineer to help build Monaco's data and ML platform ...

Slope

Data Platform Engineer

San Francisco, CA · On-site

$150 - $210/hr

Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack (CRM, ... We're looking for a Data Platform Engineer to help build Monaco's data and ML platform - the ...

Aptiv

Data Platform Architect

Walnut Creek, CA

$70.50 - $90.75/hr

Data Platform Architect Green Card holder or US Citizen Required ABOUT WIND RIVER Wind River is a ... Wind River helps customers across automotive, aerospace, defense, industrial, medical, and ...

Aptiv PLC

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Data Platform Architect Green Card holder or US Citizen Required ABOUT WIND RIVER Wind River is a ... Wind River helps customers across automotive, aerospace, defense, industrial, medical, and ...

Socket.dev

Data Platform Engineer

San Francisco, CA · On-site

$200 - $250/hr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in ... You'll have the chance to work with cutting-edge technology, help customers solve complex data ...

iSpace, Inc

Data Analyst / CDP Developer

Torrance, CA · On-site

Document data processes, business rules, logic, and workflows in Confluence or similar platforms. * Collaborate with engineering, analytics, marketing, CRM teams, and SMEs to define data requirements ...

Socket.dev

AI Data Platform Engineer

Cupertino, CA · On-site

$170 - $250/hr

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

Apple

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

Apple

AI Data Platform Engineer

Cupertino, CA

$150K - $277K/yr

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

Mill

Data Engineer - Data Platform

San Bruno, CA

$185K - $210K/yr

... feed external customers and downstream analytics * Collaborate with software engineers to ... Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal ...

Mill

Data Engineer - Data Platform

San Bruno, CA

$185K - $210K/yr

... feed external customers and downstream analytics * Collaborate with software engineers to ... Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal ...

Mill

Data Engineer - Data Platform

San Bruno, CA · On-site

$185K - $210K/yr

... feed external customers and downstream analytics * Collaborate with software engineers to ... Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal ...

Apple Inc.

AI Data Platform Engineer

Cupertino, CA · On-site

$150 - $278/hr

At Apple, we believe new insights have a way of becoming excellent products, services, and customer ... As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI ...

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Showing results 21-40

All JobsCustomer Data Platform JobsCustomer Data Platform Jobs in California

Customer Data Platform information

See California salary details

$23K

$105.3K

$184.6K

How much do customer data platform jobs pay per year?

As of Aug 29, 2026, the average yearly pay for customer data platform in California is $105,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,982.00 and $139,050.00 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.

What are the most commonly searched types of Customer Data Platform jobs in California?

The most popular types of Customer Data Platform jobs in California are:

What are popular job titles related to Customer Data Platform jobs in California?

For Customer Data Platform jobs in California, the most frequently searched job titles are:

What job categories do people searching Customer Data Platform jobs in California look for?

The top searched job categories for Customer Data Platform jobs in California are:

What cities in California are hiring for Customer Data Platform jobs?

Cities in California with the most Customer Data Platform job openings:

Customer Data Platform jobs near you
Infographic showing various Customer Data Platform job openings in California as of August 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $105,318 per year, or $50.6 per hour.

Data Platform Engineer

Santa Cruz, CA • On-site, Remote

QuickLaunch Analytics
See more jobs at QuickLaunch Analyticsexternal

$132K - $158K/yr

Full-time

Re-posted 28 days ago

Job description

Applicants without hands-on Databricks or Microsoft Fabric pipeline experience will not be considered.


AtQuickLaunchAnalytics, we help organizations simplify the complex world of data. As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.

This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting.You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.

WhatYou'llDo

  • Design and deploy modern data platforms in Azure Databricks, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization
  • Build scalable data pipelines and Lakehouse solutionsusing Python, SQL, and orchestration across Databricks and Microsoft Fabric
  • Lead customer implementations and technical delivery, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments
  • Develop and manage ETL/ELT integrationsacross third-party tools and custom APIs, ensuring reliable, production-grade data workflows
  • Implement secure, high-performance data architectures, including Unity Catalog,OneLakesecurity, networking (VPNs, private endpoints), and cost optimization
  • Partner directly with customers as a technical advisor, translating business needs into data platform solutions and driving best practices across Databricks and Fabric

Who You Are

  • Strong hands-on experience withDatabricksand/or Fabric,Spark,Python, and SQL, with the ability to build and troubleshoot production-grade data pipelines
  • Solid foundation indatabase concepts and data modeling, with experience working across structured and semi-structured datasets
  • Experience withETL/ELT tools and data integration, including tools likeFivetranand building/customizingAPI-based data pipelines
  • Comfortable working incustomer-facing or consulting environments, supporting new implementations in Azure Databricks or Microsoft Fabric
  • Working knowledge ofidentity and access management concepts(e.g., Entra ID users, groups, and permissions)
  • Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently
  • Ability to communicate effectively with both technical and non-technical customers and team members

Nice to Have

  • Experience usingAI and automation toolsto streamline workflows, including exposure toAI agents or intelligent automation frameworks
  • Experience configuring private endpoints in Azure, including networking setup and DNS configuration
  • Understanding of Power BI and Fabric licensing and how licensing mightimpactdeployment approach
  • Familiarity withLinux environmentsand cloud-based data ecosystems


Working Location: Remote(USA)or hybrid (Santa Cruz County, CA)


Compensation:The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.

About Us:

AtQuickLaunchAnalytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years,we'vehelped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.

We'rea team of 35+ professionals with deepexpertisein Power BI, Databricks, and Azure Cloud. Our culture is built onownership, collaboration, and continuous learning, reflected in strong outcomes for both our customers and our team.

If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact,we'dlove to hear from you.

Apply