Solutions Architect - CustomerLake

Databricks
Berlin, London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical leadership","Stakeholder management","Collaboration","Customer advisory","Problem-solving"]

Lead technical engagements for Customer Lake, Databricks’ agentic CDP built natively into the Data Intelligence Platform. Partner with marketing and data stakeholders to deliver customer discovery, architecture, identity resolution, audience activation, and agent deployment. Drive adoption through demos, POCs, workshops, and customer-facing collateral, while collaborating with GTM and account teams. Serve as a tier-3 escalation point, refine qualification and POC intake, and translate field insights into product roadmap recommendations.

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FursaFursa
Databricks
Databricks
1 day ago

Solutions Architect - CustomerLake

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Last checked: 27 minutes agoStatus: Live

Job Summary

Lead technical engagements for Customer Lake, Databricks’ agentic CDP built natively into the Data Intelligence Platform. Partner with marketing and data stakeholders to deliver customer discovery, architecture, identity resolution, audience activation, and agent deployment. Drive adoption through demos, POCs, workshops, and customer-facing collateral, while collaborating with GTM and account teams. Serve as a tier-3 escalation point, refine qualification and POC intake, and translate field insights into product roadmap recommendations.
Location: Berlin, London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Provide technical leadership to guide strategic customers through successful implementations on customer data and marketing projects, spanning architecture, data engineering, 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 from Customer 360 through CDP augmentation or replacement.
  • •Act as a trusted advisor and expert Solutions Architect with CMO, MarTech, data engineering, and marketing/analytics leaders, delivering presentations, demos, and POCs.
  • •Enable clients at scale via workshops, POC execution, and customer-facing collateral demonstrating the value of an embedded, agentic CDP architecture.
  • •Handle the most complex technical challenges as the tier-3 escalation point, and influence the product roadmap by translating field insights into recommendations for Product and Engineering.

Key Requirements

  • •5+ years of customer data platform (CDP), marketing technology (MarTech), or customer data engineering, including designing and delivering client-facing customer data and activation solutions (with 3+ years in customer-facing pre-sales or consulting).
  • •Experience delivering data and AI solutions for marketing and customer engagement, including identity resolution, segmentation, personalization/next-best-action, and agentic AI workflows for audience building and campaign activation.
  • •Deep familiarity with CDP and martech/adtech platforms, including composable-CDP architectures (e.g., Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze or similar), covering implementation, identity resolution, activation, and migration.
  • •Strong understanding of customer data and governance, including first-party, third-party/enrichment, identity graphs, consent/privacy signals, and destinations such as ad platforms, email/SMS, CRM, and analytics tools.
  • •Hands-on experience building solutions in major public clouds (AWS, Azure, or GCP) and an undergraduate degree (or higher) in a technical field.
Experience:Customer data platformsMartechAdtechIdentity resolutionAgentic AI workflowsPublic cloud
Skills:Technical leadershipStakeholder managementCollaborationCustomer advisoryProblem-solving
Languages:English
Tech Stack:AWSAzureGCPSalesforce Data CloudAdobeSegmentTreasure DataBrazeUnity CatalogGenieSQLReverse-ETL

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