Salesforce Data Architect

NeuraFlashNeuraFlash·Remote(United States)
Data & Analytics
Salesforce

WFA Digital Insight

As demand for data-driven solutions continues to rise, companies like NeuraFlash are at the forefront of innovation, leveraging AI and Salesforce to revolutionize workflows. With the growth of the digital landscape, skilled professionals in data architecture are in high demand, and this role offers a unique chance to work with cutting-edge technologies. NeuraFlash's commitment to AI-powered transformation and its status as Salesforce's #1 partner for Agentforce make it an exciting place to be for those looking to make a mark in the industry. Before applying, candidates should be aware of the need for a strong foundation in Salesforce, data governance, and data quality, as well as the ability to collaborate with cross-functional teams.

Job Description

About the Role

The Salesforce Data Architect plays a pivotal role in leading the strategy, design, and execution of complex data architecture and migration initiatives that support Salesforce CRM implementations across Sales, Service, and Experience Cloud. This role is critical in ensuring the highest standards of data quality, governance, and stewardship. As a strategic advisor and hands-on expert, the successful candidate will migrate and integrate customer, sales, and support data, collaborating closely 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.

In this position, you will be part of a team that is pushing the boundaries of what is possible with AI and Salesforce, working on projects that have the potential to transform the way businesses operate. The ideal candidate will have a deep understanding of data architecture, excellent problem-solving skills, and the ability to communicate complex technical concepts to non-technical stakeholders.

NeuraFlash, part of Accenture, is a leader in AI, Amazon, and Salesforce innovation, and this role offers the opportunity to work with a talented team of professionals who are passionate about delivering cutting-edge solutions that elevate customer experiences and drive tangible results.

What You Will Do

  • 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.
  • 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.
  • 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.

What We Are Looking For

  • Strong foundation in Salesforce CRM, including data architecture, data quality, and data governance.
  • Experience in designing and implementing data migration strategies and data architecture for Salesforce implementations.
  • Knowledge of data modeling, data warehousing, and ETL processes.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience working with cross-functional teams, including business stakeholders, technical architects, and delivery teams.
  • Strong understanding of data quality, data governance, and compliance mechanisms.
  • Experience with tools such as Informatica Cloud Data Quality, DemandTools, or custom scripts for data profiling, deduplication, and data cleansing.

Nice to Have

  • Experience with Salesforce Einstein, Service Cloud Voice, Amazon Connect, and Agentforce.
  • Knowledge of machine learning and predictive analytics.
  • Experience working in an agile environment and familiarity with DevOps practices.

Benefits and Perks

  • Competitive compensation package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Flexible working hours and remote work options.
  • Access to cutting-edge technologies and tools.
  • Comprehensive benefits package, including health insurance, retirement plan, and paid time off.

How to Stand Out

  • Ensure your resume and LinkedIn profile highlight your experience with Salesforce, data architecture, and data governance.
  • Prepare examples of how you have designed and implemented data migration strategies and data architecture for Salesforce implementations.
  • Be ready to discuss your experience working with cross-functional teams and your ability to communicate complex technical concepts to non-technical stakeholders.
  • Research NeuraFlash and its commitment to AI-powered transformation to understand the company culture and values.
  • Consider creating a portfolio that showcases your work in data architecture, data quality, and data governance to demonstrate your skills to potential employers.
  • During salary negotiations, be prepared to discuss your expectations based on industry standards and your level of experience.

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