Solution Engineer – Pre-Sales, Data Foundation – MuleSoft, Informatica

Salesforce

. Build trusted relationships with internal and external partners to qualify deals, identify business value, and provide technical guidance .

Posted 10/8/2026full-timeUnited StatesMid-LevelSenior💰 $77,070 - $269,080 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in technical discovery, solution architecture, and customer engagement, with a strong focus on delivering tailored presentations and proof of concept. Proficient in cloud technologies and data management, with a passion for translating technical solutions into business value.

Highest-signal resume keywords

Java DevelopmentCloud TechnologiesData WarehousingPresentation SkillsSales Engineer Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java DevelopmentCloud TechnologiesData WarehousingData QualityMaster Data ManagementProof of Concept DevelopmentAPI DevelopmentHybrid DeploymentAI-Based DevelopmentDatabase Knowledge

Soft Skills

Presentation SkillsInterpersonal CommunicationCollaborationStorytelling AbilityTrust Establishment

Tools & Technologies

MuleSoftInformaticaSalesforceAI ToolsIPaaSSaaS ApplicationsCloud InfrastructureBI ConceptsToken ManagementCompetitive Technologies

Certifications & Qualifications

Salesforce CertificationsCloud Ecosystem CertificationData-Related Cloud Technology Certification

Industry Keywords

Financial ServicesConsultingTechnologyRetail and Consumer GoodsHealthcare and Life SciencesManufacturingAutomotive

Tech Stack

Tools & technologies

CloudERPInformaticaJava

About the role

Key responsibilities & impact

Build trusted relationships with internal and external partners to qualify deals, identify business value, and provide technical guidance
Conduct technical discovery meetings and document, analyze, and clarify business and technical requirements
Manage customer engagements independently and support detailed solution proposals
Develop architecture reframing and white-boarding skills through shadowing and customer-scenario role playing
Respond to Requests for Information and Requests for Proposal
Deliver standard, customized, and strategic solution demonstrations, whiteboarding, presentations, architecture workshops, and best practices
Showcase Data Foundation functional capabilities, competitive advantages, and business benefits from demo and proof of concept through design and implementation
Support demonstrations at marketing and field events
Collaborate with Product Management, Engineering, and Product Marketing to improve Data Foundation products and marketing
Surface customer feedback on product gaps and share best practices, content, tips, and tricks
Maintain deep knowledge of competitive and complementary technologies and vendors
Stay current on relevant certifications and emerging AI, cloud, architecture, and development trends
Partner with Customer Success Management on nurture activities, technical advisory, and workshops
Provide ongoing post-sales technical guidance to client technical teams to drive adoption, utilization, and digital transformation success

Requirements

What you’ll need

Bachelor's degree in Computer Science required (BS, Master's, or PhD)
Minimum of 4 years of professional experience
Demonstrated presentation and composure abilities in front of technical and non-technical audiences
Hands-on Java development experience and ability to code and debug against Java APIs is preferred
Experience with cloud technologies, including iPaaS, SaaS applications, and cloud infrastructure, is preferred
Working knowledge of hybrid deployment of software solutions, data warehousing, database, and BI concepts
Knowledge of master data match/merge and survivorship, data quality, and lineage
Experience building and delivering Proofs of Concept and responding independently to functional and technical elements of RFIs/RFPs
Knowledge of related applications, relational databases, and ERP technologies
Strong oral, written, presentation, collaboration, and interpersonal communication skills
Fluency with AI-based development and agentic concepts, including models, MCP, A2A, and token management
Ability to travel as needed (30–40%) and work flexible hours across multiple time zones
Experience leading architectural discussions
Proven experience establishing trust with clients and influencing decision makers, influencers, coaches, and partners
Storytelling ability and experience tailoring communication and engagement to specific use cases
Passion for technology and ability to translate it into business impact
Current Salesforce certifications are an advantage
Prior Solution Engineer/Sales Engineer experience is an advantage
Skill in at least one MuleSoft or Informatica-related platform or technology
Basic knowledge of major cloud ecosystems, data-related technologies, and cloud computing security
Experience using AI tools such as Claude, Codex, or Gemini
Certifications in at least one cloud ecosystem and one data-related cloud technology are an advantage
Industry experience in Financial Services, Consulting, Technology, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, or Automotive

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for eligible roles
Equity may be available for eligible roles
AI agents to accelerate impact
Reasonable accommodation during the application or recruiting process