Salesforce Data Cloud Engineer

Important Note Local Candidate should be local with proof like DL No miss represented. Ideal candidate should have to fill the Below Skill matrix table for submission and Have to provide at least 2 Managerial/ reporting Manager References with LinkedIn ( without LinkedIn PV will not consider their profile). Job #5129:

NOTE:

Looking for

AMERICAN

candidates only.

Job Title:

Salesforce Data Cloud Engineer (Hands-On | Identity Resolution & Activation)

Client:

Confidential

DIRECT CLIENT

(

Domain:

Fundraising)

Location:

Memphis, TN (Hybrid Onsite)- Need local profile Visa - Candidates with

OPT, STEM

OPT, or related student-based work authorization must not be submitted .

Duration:

18 Months + Extensions (Long-term contract w/ no end date. Could possibly go perm if candidate desires)

Compensation:

$45-55/HR CTC Overview We are seeking a hands-on Salesforce Data Cloud Engineer to support the design, implementation, and optimization of a unified customer data platform. This role is focused on building and enabling identity resolution, data modeling, and activation capabilities within Salesforce Data Cloud (Data 360). This is not an architecture-only role. The ideal candidate will have direct, hands-on experience ( hands-on keyboard ) working within Salesforce Data Cloud and be able to clearly articulate and demonstrate real-world implementations from data ingestion through activation. You will partner closely with engineering, marketing, and CRM teams to enable high-quality, unified customer profiles and activate those profiles across downstream platforms. Required Hands-On Salesforce Data Cloud Experience Candidates must have real-world, hands-on experience working within Salesforce Data Cloud (Data 360).

This includes:

Configuring and managing data ingestion pipelines Building and maintaining Data Model Objects (DMOs) and Data Graphs Implementing identity resolution strategies (deterministic and probabilistic matching) Enabling activation workflows and downstream data usage Working directly within the platform to configure calculations, segmentation, and activation pipelines Candidates must be able to walk through end-to-end implementations, not just describe concepts. Key Responsibilities Design, build, and optimize Salesforce Data Cloud pipelines and data models Implement and manage identity resolution processes, including matching rules and unified profile creation Configure and maintain: Data Model Objects (DMOs) Data Graphs Calculated Insights Develop and support segmentation and activation workflows across Marketing Cloud, CRM, and external platforms Enable and optimize Salesforce Data Cloud capabilities beyond ingestion, including activation and downstream use cases Ensure data quality, consistency, and governance across all stages of the data lifecycle Collaborate with cross-functional teams to translate business requirements into scalable Data Cloud solutions Support ongoing enhancements and optimization of the customer data platform Required Qualifications 5+ years of experience in data engineering, CDP, or CRM platforms 2+ years of hands-on Salesforce Data Cloud (Data 360) experience strongly preferred Proven experience working with: Data Model Objects (DMOs) Data Graphs Identity resolution frameworks Segmentation and activation workflows Strong SQL skills and experience working with large-scale datasets Experience with data ingestion, transformation, and modeling workflows Understanding of customer data platforms (CDP) and master data management (MDM) concepts Experience integrating and activating data across downstream systems (Marketing Cloud, CRM, etc.) Ability to clearly explain technical implementations and design decisions Preferred Qualifications Experience with streaming or event-driven data pipelines (Kafka, Kinesis, etc.) Experience with data warehouse platforms (e.g., Amazon Redshift, Snowflake) Experience with Python, dbt, or similar tools Experience with Reverse ETL or customer data activation tools Exposure to Salesforce ecosystem tools (Marketing Cloud, Service Cloud, etc.) What Strong Candidates Will Demonstrate Ability to clearly explain how unified customer profiles are created and leveraged Deep understanding of identity resolution and post-resolution processes Experience implementing end-to-end Data Cloud solutions (ingestion resolution activation) Ability to discuss real-world challenges and how they were solved Strong understanding of how Salesforce Data Cloud capabilities are configured and used in practice Candidates Will Not Be Considered If They Only have conceptual or theoretical knowledge of Salesforce Data Cloud Cannot explain what happens after identity resolution Lack hands-on experience with: Activation workflows Platform configuration Data Cloud implementation Primarily have generic data engineering or MDM experience without Salesforce Data Cloud exposure Work Environment Highly collaborative team with frequent working sessions and real-time problem solving Fast-paced environment focused on delivering scalable data solutions Remote candidates must be available during core Central Time working hours Why This Role Matters This role is critical to advancing the organization s ability to build and activate unified customer profiles, enabling more effective marketing, analytics, and customer engagement strategies.

Relevant Skills:

Software/Technology Years of Experience Date Last Used (MM/YYYY) Salesforce Data Cloud (Data 360) Hands-On Identity Resolution & Unified Profile Creation Data Modeling in Data Cloud (DMOs & Data Graphs) Segmentation & Activation Workflows Data Ingestion, Transformation & Integration SQL (Advanced)

CDP / MDM

Concepts (Contextual Understanding)