Sr. Solutions Architect, Customer Lake

Databricks
California
Workplace: RemoteFull timeUSD 219,100 - 301,300 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Stakeholder management","Problem-solving","Mentoring","Relationship building"]

Drive customer adoption of Customer Lake, Databricks’ agentic CDP built into the Data Intelligence Platform. Provide technical leadership across architectures spanning customer data, identity resolution, audience activation, and agent deployment. Partner with GTM and account teams to design engagement strategies, run workshops and POCs, and influence executives from CMOs to data engineering leaders. Serve as tier-3 escalation and help shape qualification and POC intake processes.

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FursaFursa
Databricks
Databricks
1 day ago

Sr. Solutions Architect, Customer Lake

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Last checked: 9 hours agoStatus: Live

Job Summary

Drive customer adoption of Customer Lake, Databricks’ agentic CDP built into the Data Intelligence Platform. Provide technical leadership across architectures spanning customer data, identity resolution, audience activation, and agent deployment. Partner with GTM and account teams to design engagement strategies, run workshops and POCs, and influence executives from CMOs to data engineering leaders. Serve as tier-3 escalation and help shape qualification and POC intake processes.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership guiding strategic customers from architectural design through identity resolution, audience activation, and agent deployment.
  • •Collaborate with GTM leadership and account teams to design and execute engagement strategies that drive Customer Lake adoption across the customer lifecycle.
  • •Serve as a trusted advisor and build technical credibility with CMOs, heads of MarTech, data engineering leaders, and marketing/analytics teams.
  • •Enable clients at scale via workshops, POC execution, and customer-facing collateral that demonstrates an embedded, agentic CDP architecture.
  • •Act as tier-3 escalation for complex technical challenges and influence the sales qualification and POC intake process to ensure well-scoped engagements.

Pay and Benefits

Salary: USD 219,100 - 301,300 annually

Key Requirements

  • •5+ years in a customer-facing pre-sales or consulting role influencing technical executives and driving customer data and marketing strategy adoption.
  • •2+ years implementing modern data estate, CDP, and Lakehouse architectures focused on data and AI applications.
  • •Experience designing and implementing data/AI for marketing and customer engagement, including identity resolution, segmentation, personalization/next-best-action, and agentic AI workflows.
  • •Ability to facilitate executive stakeholders and align technology strategy to business value and ROI.
  • •Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering, or similar.
Experience:5+ yearsCDPLakehouseCustomer dataMarketing analyticsData engineeringData governanceAI/ML
Education:Bachelor's
Skills:Technical leadershipStakeholder managementProblem-solvingMentoringRelationship building
Languages:English
Tech Stack:SQLPythonAWSAzureGCPLakehouseCDPIdentity resolutionSegmentationPersonalizationNext-best-actionAgentic AIData engineeringData warehousingData governanceStreaming

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn