> Markdown version of [/jobs/ext/2013842-data-architect-salesforce-crm-solutions](https://www.wearedevelopers.com/jobs/ext/2013842-data-architect-salesforce-crm-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Architect - Salesforce CRM Solutions

- **Company:** NeuraFlash, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Application Integration Architecture, Confluence, JIRA, Cloud Computing, Cyber Security, Databases, Customer Data Management, Data Architecture, Data Cleansing, Data Deduplication, Data Files, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Migration, Data Profiling, Data Security, Data Systems, Database Queries, Netsuite, Pentaho Data Integration, Systems Development Life Cycle, Cloud Services, Migration Manager, Requirements Management, Salesforce.Com, SAP (Applications), SQL Databases, System Testing, Systems Integration, Technical Data Management Systems, Data Processing, Scripting, Informatica Cloud, Git, Data Lineage, Marketo, Data Management, Api Design, Zendesk, Multiplatform, Mulesoft
- **Published:** August 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/salesforce-data-architect-remote-or--068e09d4-4dbe-4caf-a1a6-4f0bdb5f673c

## About the Role

* 5+ years of experience in data architecture and CRM data migrations, with a strong focus on Salesforce platforms
 * Deep understanding of Salesforce data models across Sales Cloud, Service Cloud, Experience Cloud, and custom apps
 * Experience with tools such as Informatica Cloud, Informatica MDM, DBAmp, Dataloader, or similar ETL/data integration tools
 * Strong SQL skills for data analysis, cleansing, and transformation (joins, window functions, data profiling)
 * Proven experience with deduplication, data cleansing, and improving data quality at scale
 * Demonstrated knowledge of MDM frameworks, data stewardship, and governance best practices

Preferred Qualifications

 * Experience integrating Salesforce with ERP, marketing, and support platforms (e.g., SAP, NetSuite, Marketo, Zendesk)
 * Experience with Salesforce Data Cloud, MuleSoft, or custom API-based integrations
 * Familiarity with Agile project methodologies and tools like Jira, Confluence, and Git
 * Salesforce certifications: Admin, Data Architecture & Management Designer, Integration Architecture Designer
 * Background in RevOps, enterprise CRM strategy, or customer 360 initiatives, Agile Programming Methodologies, Amazon Web Services (AWS), Application Programming Interface (API), Architectural Design, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Atlassian JIRA, Best Practices, Business Operations, Business Processes, Cloud Applications, Cloud Computing, Cross-Functional, Customer Experience, Customer Relationship Management (CRM), Customer Relationship Management (CRM) Systems, Data Analysis, Data Cleaning, Data Management, Data Migration, Data Modeling, Data Processing, Data Profiling, Data Quality, Data Sets, DataArchitect Data Modeling Tool, Database Extract Transform and Load (ETL), Documentation Plan, ERP (Enterprise Resource Planning), Ecosystems, Emerging Technology, Enterprise Architecture, Field Mapping, Git, Hubs, Informatica, Information/Data Security (InfoSec), Manufacturing Data Management, Marketing, Master Data Management (MDM), Metrics, Migration Strategy, Multiplatform/Cross-Platform, NetSuite, Performance Metrics, Predictive
Modeling, Production Systems, Quality Assurance, Quality Management, Requirements Management, SAP, SQL (Structured Query Language), Sales, Sales Support, Salesforce.com, Scalable System Development, Scripting (Scripting Languages), Stewardship, System Migration, System Validation, Team Player, Technical Delivery, Test Plan/Schedule, Willing to Travel, Work From Home, ZenDesk

## Description

As a Data Architect - Salesforce CRM Solutions, you will lead the strategy, design, and execution of complex data architecture and migration initiatives that support Salesforce CRM implementations across Sales, Service, and Experience Cloud. You will serve as a strategic advisor and hands-on expert in migrating and integrating customer, sales, and support data while ensuring the highest standards of data quality, governance, and stewardship.

You will collaborate with business stakeholders, technical architects, and delivery teams to deliver scalable, secure, and clean data solutions aligned with Salesforce best practices and enterprise transformation goals.
Key ResponsibilitiesSalesforce CRM Data Strategy & Migration

 * Design and lead data migration plans covering core Salesforce entities such as accounts, contacts, leads, opportunities, activities, cases, and custom objects.
 * Develop scalable data migration frameworks that support phased, delta, and full-load approaches across Salesforce environments.
 * Drive alignment of legacy data models to Salesforce architecture, considering business rules, relationships, and multi-org/multi-currency configurations.

Data Architecture, MDM & Governance

 * Define canonical data models and develop field-level mapping and transformation logic from source systems to Salesforce.
 * Collaborate with MDM teams to establish golden record definitions and implement identity resolution strategies across systems.
 * Implement governance controls, data stewardship policies, and compliance mechanisms (e.g., GDPR, CCPA) to ensure trusted and compliant data usage.
 * Ensure data lineage and integrity across the CRM ecosystem by working closely with enterprise architects and data owners.

Deduplication, Data Cleanliness & Quality Assurance

 * Conduct comprehensive data profiling, identify duplicates, incomplete records, and inconsistent values across datasets.
 * Lead deduplication efforts using tools such as Informatica Cloud Data Quality, DemandTools, or custom scripts.
 * Design rules and processes for data cleansing, normalization, and enrichment to ensure completeness and accuracy of migrated and integrated data.
 * Establish data quality KPIs and continuously monitor and report on data integrity across the Salesforce platform.

Execution & Enablement

 * Develop and execute ETL processes using tools such as Informatica (Cloud and MDM), DBAmp, Pentaho, Dataloader, or SQL-based frameworks.
 * Manage iterative data loads into Salesforce sandboxes and production environments, validating against source system records and business rules.
 * Deliver thorough documentation, test plans, and support materials to enable stakeholder adoption and long-term maintenance.

Stakeholder & Cross-Functional Collaboration

 * Facilitate workshops with business stakeholders to define data requirements, risks, and success metrics.
 * Work closely with Salesforce Solution Architects, Admins, Developers, RevOps, and QA teams to ensure data supports end-to-end business processes.
 * Standardize data practices by contributing to internal playbooks, templates, accelerators, and knowledge sharing initiatives.


## Related Videos

- [The AI Agent Path to Prod: Building for Reliability](https://www.wearedevelopers.com/videos/1523-the-ai-agent-path-to-prod-building-for-reliability)
- [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)