Technical Architect 8

Salesforce
Chicago, Illinois, Kansas, Minnesota, Texas, Oklahoma, Michigan, Austin, Dallas, Houston
Workplace: RemoteFull timeUSD 173,460 - 231,980 annuallyFunction: Software EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Collaboration","Time management","Strategic problem-solving"]

Serve as a pre-sales, customer-facing expert at the intersection of modern data architecture and AI. Lead enterprise technical discovery and architecture discussions across unified data platforms, lakehouses, cloud data warehouses, integration, governance, and security. Help customers design agentic AI and LLM-powered solutions, translate requirements into compelling architectures, and support sales with repeatable propositions, reference architectures, and enablement.

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FursaFursa
Salesforce
Salesforce
17 hours ago

Technical Architect 8

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Serve as a pre-sales, customer-facing expert at the intersection of modern data architecture and AI. Lead enterprise technical discovery and architecture discussions across unified data platforms, lakehouses, cloud data warehouses, integration, governance, and security. Help customers design agentic AI and LLM-powered solutions, translate requirements into compelling architectures, and support sales with repeatable propositions, reference architectures, and enablement.
Location: Chicago, Illinois, Kansas, Minnesota, Texas, Oklahoma, Michigan, Austin, Dallas, Houston
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Use a structured discovery approach to uncover business and technical requirements and translate them into winning data and AI architectures.
  • •Lead technical and business discussions for enterprise data and AI programs from strategy through architecture to deployment.
  • •Design and architect agentic AI systems and LLM-powered applications, including integration with data platforms, vector stores, and APIs.
  • •Support sales enablement by helping develop repeatable propositions, reference architectures, and solution best practices.
  • •Communicate effectively across executive, technical, and business audiences, including delivering enablement sessions and industry engagements.
Travel: Low travel

Pay and Benefits

Salary: USD 173,460 - 231,980 annually
Perks:MedicalDentalVisionHealth InsuranceParental LeaveLife InsuranceDisability Insurance401kEquityTime Off

Key Requirements

  • •Hands-on experience with cloud data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse or equivalent) and strong SQL.
  • •Comfort with data modeling across structured, semi-structured, and unstructured data; familiarity with dbt or Spark.
  • •Practical experience with ML fundamentals and vector/embedding-based retrieval, plus agentic AI or generative AI experience using LLMs or agents.
  • •Deep knowledge of enterprise data platforms and cloud architectures (AWS, GCP, or Azure), including data services, networking, identity, and governance.
  • •Ability to translate complex business and technical requirements for executive, technical, and business audiences; minimum 4 years of professional experience.
Experience:4+ years
Education:Bachelor's in Computer Science, MIS, Data Science, Software Engineering, or other STEM field
Skills:CommunicationPresentationCollaborationTime managementStrategic problem-solving
Tech Stack:SnowflakeDatabricksBigQueryRedshiftAzure SynapseDbtSparkVector/embedding-based retrievalCopilotCursorClaude CodePythonJavaScriptJavaAWSGCPAzureKafkaPub-SubAPI gateways

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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