[Remote] Salesforce Data Cloud Solution Architect at NeuraFlash

Alberta, Alberta, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

8+ years of overall experience in technology consulting, data strategy, or enterprise architecture
3+ years hands-on experience in Salesforce ecosystems with deep understanding of Data Cloud, including DLO/DMO design, ingestion, and activation
Proven track record leading end-to-end data architecture and implementation—from discovery and design through deployment and enablement
Experience with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift
Strong understanding of data modeling, identity resolution, governance, and segmentation
Understanding of MuleSoft, API design, and integration patterns
Familiarity with data visualization and analytics tools (Tableau, Looker, Power BI)
Proficiency in Python, SQL, or data frameworks (pandas, Spark, DataFrames) is a plus
Salesforce Data Cloud Consultant or Architect certifications preferred
Excellent communication and executive presentation skills

Responsibilities

Lead discovery & architecture of customer data strategies, ensuring alignment between business goals, data models, and AI-driven use cases
Assess existing data ecosystems, including legacy data warehouses, cloud platforms, and integrations, to define the optimal Data Cloud architecture and migration strategy
Design scalable and secure data architectures on Salesforce Data Cloud—defining DLOs, DMOs, identity resolution strategies, and real-time data activation patterns
Develop enterprise-level solution blueprints, integration frameworks, and reference architectures that align with Salesforce and NeuraFlash best practices
Collaborate cross-functionally with data engineers, architects, product managers, and Salesforce technical teams to ensure seamless delivery
Serve as a trusted advisor to both customers and Salesforce teams—demonstrating how Data Cloud unlocks value across Service, Marketing, and AgentForce use cases
Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, Snowflake, and other enterprise systems using real-time and batch patterns
Own pre-sales architecture in partnership with account executives—build solution demos, estimates, and presentations that articulate the business value of Data Cloud
Evangelize the Salesforce Data Cloud vision, including modern data activation, zero-copy architecture, and industry-specific applications
Explore and implement emerging AI capabilities, including GPT & LLM-driven use cases powered by unified customer data

Skills

Key technologies and capabilities for this role

Salesforce Data CloudAgentforceSalesforce EinsteinService Cloud VoiceAmazon ConnectData Lake ObjectsData Model ObjectsIdentity ResolutionData ArchitectureCloud PlatformsAI

Questions & Answers

Common questions about this position

What are the main responsibilities of the Salesforce Data Cloud Solution Architect role?

You will lead discovery and architecture of customer data strategies, design scalable data architectures on Salesforce Data Cloud, collaborate cross-functionally, architect integrations with systems like MuleSoft and Snowflake, and own pre-sales architecture including demos and presentations.

What skills and expertise are needed for this position?

Key skills include expertise in Salesforce Data Cloud architecture (DLOs, DMOs, identity resolution), assessing data ecosystems, designing integrations with MuleSoft and Snowflake, knowledge of AI-driven use cases like Agentforce, and experience in pre-sales demos and enterprise solution blueprints.

What is the compensation or salary for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the company culture like at NeuraFlash?

NeuraFlash fosters a collaborative environment with trailblazing experts passionate about AI innovation, particularly Salesforce Agentforce, where you'll work on cutting-edge technologies to drive customer outcomes and shape the future of generative AI.

NeuraFlash

AI-powered CRM solutions for businesses

About NeuraFlash

NeuraFlash specializes in digital transformation with a focus on Customer Relationship Management (CRM) and artificial intelligence (AI). The company provides tools that help businesses analyze data and improve customer interactions, primarily serving large enterprises in industries like retail, logistics, and global security. Their products include AI-powered tools and CRM analytics that allow clients to visualize insights and enhance customer experiences. NeuraFlash differentiates itself by offering tailored solutions and ongoing support, as well as specialized practices around platforms like Slack and Salesforce. Their goal is to help businesses leverage AI and CRM effectively to drive efficiency and improve customer satisfaction.

Boston, MassachusettsHeadquarters

2016Year Founded

$2.2MTotal Funding

DEBT_PPCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

Increased competition from other Salesforce consulting firms may erode NeuraFlash's market share.

Rapid technological advancements could outpace NeuraFlash's ability to update its solutions.

Dependence on Salesforce and AWS means changes in their strategies could impact NeuraFlash.

Differentiation

NeuraFlash specializes in AI-driven CRM solutions, enhancing customer experiences and business operations.

The company offers tailored solutions, partnering with major firms like Macy's for implementation.

NeuraFlash integrates AI-powered search and generative AI, ensuring optimal search results.

Upsides

Growing demand for AI-driven CRM solutions boosts NeuraFlash's market potential.

Salesforce's continuous updates provide opportunities for NeuraFlash's integration services.

The rise of hybrid work models increases relevance of NeuraFlash's Slack integration services.

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