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Senior Salesforce Data Cloud Jobs (NOW HIRING)

Salesforce Data Cloud

New York, NY · On-site

$60.75 - $80.50/hr

Salesforce Data Cloud Location: - NYC, NY - Hybrid - 3 Days Duration: 6-12 months The ideal candidate will have a strong technical background, experience in implementing and optimizing Salesforce ...

Senior Salesforce Developer

Durham, NC · On-site

$121K - $148K/yr

SENIOR SALESFORCE DEVELOPER - Durham,NC // Hoboken, NJ The Select Group is seeking a Senior ... Salesforce Data Cloud exposure. * Salesforce sales cloud experience. Role will be roughly 80 ...

Sr. Salesforce Architect

Reston, VA · Remote

$70.75 - $87.50/hr

Job Position: Sr. Salesforce Architect Location: Remote (Very Occasional Visit to Reston, VA ... Data Cloud, along with strong knowledge of Salesforce architectural best practices. Key ...

Salesforce Data Cloud Architect

Dallas, TX · On-site

$68.25 - $84.50/hr

Salesforce Data Cloud Architect JD: • 15+ years of experience in data architecture or technical architecture roles, with at least 5 years focused on Salesforce Data Cloud within the financial ...

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Senior Salesforce Data Cloud information

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$64.5K

$139.5K

$182K

How much do senior salesforce data cloud jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior salesforce data cloud in the United States is $139,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $153,500.00 per year, depending on experience, location, and employer.

How does a Senior Salesforce Data Cloud professional typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Senior Salesforce Data Cloud professional, you will frequently partner with marketing, sales, IT, and analytics teams to understand business needs and translate them into scalable data solutions. This collaboration often involves leading workshops to gather requirements, designing data models, and ensuring seamless data integration across platforms. You'll also mentor junior team members and act as a bridge between technical and non-technical stakeholders to ensure project objectives are met. Clear communication and the ability to simplify complex data concepts are essential for success in this collaborative environment.

What is the difference between Senior Salesforce Data Cloud vs Salesforce Data Analyst?

AspectSenior Salesforce Data CloudSalesforce Data Analyst
Primary RoleManaging and integrating large-scale data within Salesforce ecosystemAnalyzing data to generate reports and insights
Required SkillsData management, Salesforce platform expertise, cloud integrationData analysis, SQL, reporting tools, Salesforce reports
CertificationsSalesforce Data Cloud certifications, Salesforce Administrator

While both roles involve working with Salesforce data, the Senior Salesforce Data Cloud focuses on managing and integrating large datasets within the Salesforce platform, often requiring cloud expertise. In contrast, a Salesforce Data Analyst primarily analyzes data to produce insights and reports, with a focus on data interpretation and visualization. The senior role demands more technical skills and experience with data management, whereas the analyst role emphasizes data analysis and reporting capabilities.

What is a Senior Salesforce Data Cloud professional?

A Senior Salesforce Data Cloud professional is an experienced specialist who manages and optimizes Salesforce Data Cloud (formerly known as Salesforce Customer Data Platform or CDP) to unify customer data from multiple sources. They design and implement data solutions that enable organizations to gain a 360-degree view of their customers, ensuring data quality, integration, and compliance with privacy standards. This role often requires advanced knowledge of Salesforce architecture, data modeling, and data management best practices, as well as the ability to collaborate with stakeholders to drive data-driven business strategies.

What are the key skills and qualifications needed to thrive as a Senior Salesforce Data Cloud professional, and why are they important?

To thrive as a Senior Salesforce Data Cloud professional, you need advanced knowledge of Salesforce Data Cloud (formerly Customer Data Platform), data integration, data modeling, and a background in computer science or a related field. Expertise with Salesforce technologies, data management tools, APIs, and relevant certifications such as Salesforce Certified Data Cloud Consultant are typically required. Strong analytical thinking, stakeholder communication, and problem-solving abilities are crucial soft skills for this role. These competencies are essential for implementing robust data solutions, optimizing customer insights, and driving business value through effective data strategy.
More about Senior Salesforce Data Cloud jobs
What cities are hiring for Senior Salesforce Data Cloud jobs? Cities with the most Senior Salesforce Data Cloud job openings:
What are the most commonly searched types of Salesforce Data Cloud jobs? The most popular types of Salesforce Data Cloud jobs are:
What states have the most Senior Salesforce Data Cloud jobs? States with the most job openings for Senior Salesforce Data Cloud jobs include:
Infographic showing various Senior Salesforce Data Cloud job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $139,502 per year, or $67.1 per hour.
Senior Salesforce Data Cloud Architect

Senior Salesforce Data Cloud Architect

EPAM Systems

Manhattan, NY • On-site

$76 - $94.25/hr

Other

Posted 13 days ago


Job description

EPAM Systems sits at the intersection of deep engineering excellence and strategic consulting - and our Salesforce practice is one of the fastest-growing capabilities in the firm. We bring together data architecture, AI, cloud engineering, and customer experience in ways that most partners simply can't. We're hiring a Salesforce Data Cloud Architect who can design and deliver enterprise-grade Data Cloud solutions and walk into a client conversation and own it: Half deep technical delivery, half commercial impact. Apply today! Learn more about our Salesforce Practice: Req.# Responsibilities Architect end-to-end Salesforce Data Cloud solutions - ingestion, harmonization, identity resolution, segmentation, and activation Design scalable data models, governance frameworks, and integration patterns across real-time and batch pipelines Lead technical integrations across the Salesforce ecosystem and third-party platforms Build and optimize Tableau dashboards that turn complex data into clear business decisions Define analytics strategies aligned to client use cases - customer 360, marketing performance, sales intelligence Partner with sales and GTM teams on pre-sales, demos, and RFP responses - you move deals forward, not just answer technical questions Act as a trusted client advisor on data transformation strategy and the Salesforce Data Cloud roadmap you'll serve as the senior technical point of contact for 1-2 strategic accounts Build reusable accelerators and solution frameworks that sharpen every pursuit Play the part of a senior individual contributor with informal leadership of 3-5 architects per engagement - you will mentor architects, engineers, and analysts and contribute to EPAM's Data Cloud thought leadership Requirements 10+ years in data architecture, analytics, or the Salesforce ecosystem Deep hands-on expertise in Salesforce Data Cloud - identity resolution, calculated insights, segmentation, and activation Experience with enterprise data architecture - CDM, dimensional modeling, APIs, ETL/ELT pipelines Proven track record in client-facing roles - pre-sales, solution engineering, or consulting A player-coach mindset: you'll be expected to both design architecture and write/review actual Data Cloud configurations and SQL-based calculated insights Nice to have Salesforce ecosystem experience across Sales Cloud and Marketing Cloud Familiarity with Snowflake, Databricks, or AWS/Google Cloud Platform/Azure AI/ML exposure within customer data platforms Industry experience in media, sports, financial services, or consumer goods Salesforce Data Cloud Consultant and Data 360 Consultant Certifications