Salesforce Data Cloud Architect

Remote
C2C

Experience: 13+ Years

Visa: H4EAD & USC

Note: Direct consultant contact details, Visa Status & Current Location only. No employer/vendor details. Incomplete resumes will be rejected

 

Required Skills  

•         Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field (or equivalent professional experience)

•         2+ years of implementing Salesforce Data Cloud in enterprise environments

•         Strong foundation in software engineering principles, including object-oriented programming, algorithms, data structures, system design, and application architecture

•         Experience integrating Salesforce with enterprise applications using APIs, MuleSoft, ETL tools, or cloud data platforms

•         Strong Python development experience with the ability to build and maintain ETL/ELT pipelines, automate data processing, and develop reusable integration utilities

•         Experience designing and consuming REST APIs and integrating enterprise applications using modern authentication and integration patterns

•         Experience designing secure, scalable enterprise data architectures

•         Strong understanding of customer data platforms (CDPs), identity resolution, and customer 360 concepts

•         Strong understanding of source control, CI/CD practices, testing, debugging, logging, and production support for enterprise data solutions

•         Deep understanding of Salesforce Data Cloud objects, ingestion methods, segmentation, calculated insights, and activation

•         Expert-level SQL skills, including writing and optimizing complex queries, joins, common table expressions (CTEs), window functions, and data transformations across large datasets

•         Working knowledge of Server-Side JavaScript (SSJS), with the ability to develop and troubleshoot Marketing Cloud automation and integration scripts

•         Knowledge of cloud data platforms such as Snowflake, Databricks, or Big Query

•         Excellent communication and client-facing consulting skills

•         Demonstrated ability to design and troubleshoot complex distributed systems, APIs, and enterprise integrations

 

Responsibilities

•         Lead the end-to-end architecture and implementation of Salesforce Data Cloud solutions.

•         Design scalable data models, identity resolution strategies, calculated insights, and segmentation frameworks.

•         Develop enterprise customer data strategies that support marketing, service, analytics, and AI initiatives.

•         Define governance, security, privacy, and consent management approaches for Data Cloud.

•         Design integrations between Salesforce Data Cloud and enterprise systems including EMRs, CRMs, marketing platforms, data warehouses, and third-party applications.

•         Build and optimize Data Streams, Data Lake Objects, Data Model Objects, Data Actions, and Calculated Insights.

•         Design identity resolution rules and unified customer profiles.

•         Ensure high-quality, reliable, and scalable data ingestion processes.

•         Enable audience segmentation and activation across Marketing Cloud, Health Cloud, Service Cloud, and external platforms.

•         Design real-time and batch activation strategies.

•         Support AI use cases including Agentforce, Einstein, and predictive analytics.

•         Optimize personalization strategies using unified customer profiles.

•         Monitor and optimize Data Cloud consumption credits.

•         Recommend best practices for data retention, refresh schedules, segmentation, and data processing.

•         Identify opportunities to improve performance while reducing operational costs.

•         Establish monitoring and governance processes.

•         Lead client discovery sessions and solution workshops.

•         Translate business requirements into technical architecture and implementation roadmaps.

•         Present solution designs to executive and technical stakeholders.

•         Provide strategic recommendations based on Salesforce platform capabilities and industry best practices.

•         Establish implementation standards, reusable frameworks, and documentation.

•         Support pre-sales efforts including solution design, estimates, RFP responses, and technical demonstrations.

•         Stay current on Salesforce releases, Data Cloud enhancements, and emerging AI capabilities.

 

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