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Customer Data Platform Jobs in Washington (NOW HIRING)

shrm

Manager, Data Insights

Alexandria, VA · On-site

Experience with customer data platforms (CDPs) and sales and marketing analytics ecosystems * Proven ability to translate complex analytical findings into clear business insights and be a strong ...

Syndicus, Inc.

Platform Engineer (7029)

Columbia, MD · Hybrid

$129K - $229K/yr

Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g ... the customer. Benefits $129,000-$229,000 salary per year, depending on experience. 11 Federal ...

Syndicus, Inc.

Platform Engineer (7031)

Columbia, MD · Hybrid

$163K - $213K/yr

Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g ... the customer. Benefits $163,000-$213,000 salary per year, depending on experience. 11 Federal ...

Syndicus, Inc.

Platform Engineer (8017)

Columbia, MD · Hybrid

$164K - $213K/yr

Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g ... the customer. Benefits $164,000-$213,000 salary per year, depending on experience. 11 Federal ...

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All JobsCustomer Data Platform JobsCustomer Data Platform Jobs in Washington

Customer Data Platform information

See Washington salary details

$25.2K

$115.5K

$202.4K

How much do customer data platform jobs pay per year?

As of Aug 22, 2026, the average yearly pay for customer data platform in Washington is $115,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,609.00 and $152,460.00 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 Washington?

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

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

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

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

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

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

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

Customer Data Platform jobs near you
Infographic showing various Customer Data Platform job openings in Washington as of August 2026, with employment types broken down into 78% Full Time, 14% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $115,475 per year, or $55.5 per hour.

Sales Engineer - Hadoop Observability & Open Data Platform

Acceldata

Washington, DC • Remote

$200K - $250K/yr

Full-time

Re-posted 16 days ago

Job description

Position Summary
Acceldata is seeking a dynamic and results-oriented Sales Engineer to join our high-performing team. As a Sales Engineer, you will play a crucial role in driving the success of our Acceldata solutions (Hadoop Observability & Open Data Platform). You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively.
We’re looking for someone who can:
  • Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions.
  • Develop, customise, and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges.
  • Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper, etc.) & their working architecture, usage & workflow.
  • Hands-on experience with at least one of the following:  Apache Spark, Trino, Jupyter and Airflow
  • Partner with the Enterprise and Strategic Accounts teams to identify prospects’ environments and technical requirements to pursue tailored sales strategies, providing technical expertise to help close deals effectively.
  • Work closely with customers to design and develop solutions tailored to their data environments and technical requirements. 
  • Develop comprehensive technical proposals & assist with crafting statements of work (SOWs).
  • Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to stakeholders.
  • Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots.
  • Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success.
  • Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects.
  • Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.
  • Partner with AE’s and sales managers to ensure deal qualification - making sure a strong solution and technical fit before significant technical investment.
What makes you the right fit for this position?
  • 12+ years of experience in a SaaS and Data Industry Sales Engineering role.
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure. 
  • Hands-on experience with cloud platforms, including Databricks or Snowflake.
  • Hands-on experience with data observability, data monitoring, data integration, and/or data quality products.
  • Strong understanding of data observability trends, challenges, & opportunities in the industry.
  • Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences.
  • Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions.
  • Ability to analyze customer data scenarios & recommend suitable observability strategies.
  • “Growth mindset” - learn from mistakes, stay positive, find a path to win, look to the future, learn from the past.
  • Proactive self-starter with inherent motivation to meet and exceed performance goals.
  • Ability to work in a fast-paced and dynamic team environment.
  • Travel up to 50% meeting with qualified prospects as well as customers.
  • Willingness to do “whatever it takes” to WIN.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.