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Databricks

Senior Solutions Architect, Customer Lake

Databricks

. Provide technical leadership for strategic customer implementations involving customer data and marketing projects .

Posted 11/3/2026full-timeRemote • California • United StatesSenior💰 $219,100 - $301,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in customer data and marketing strategy, with a strong focus on implementing modern data architectures and AI applications. Proven ability to influence executive stakeholders and drive product adoption through technical leadership and collaboration.

Highest-signal resume keywords
Customer Data StrategyModern Data Architecture ImplementationAI Applications DevelopmentSQL and Python ProficiencyCloud Solutions in AWS, Azure, or GCP

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringIdentity ResolutionSegmentationPersonalizationNext-Best-Action WorkflowsAI/ML for PersonalizationData GovernanceStreaming DataTechnical LeadershipSales Qualification Processes
Soft Skills
CollaborationInfluencing StakeholdersMentoringKnowledge SharingBuilding Relationships
Tools & Technologies
AWSAzureGCPCustomer Data Platform (CDP)Lakehouse Architectures
Industry Keywords
Customer EngagementMarketing AnalyticsData IngestionData ActivationData Warehousing

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Provide technical leadership for strategic customer implementations involving customer data and marketing projects
  • Guide architectural design, data engineering, identity resolution, audience activation, and agent deployment
  • Collaborate with GTM leadership and account teams on engagement strategies across the territory
  • Drive Customer Lake adoption from Customer 360 build-out through CDP augmentation or replacement
  • Advise CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams
  • Deliver workshops, proofs of concept, and customer-facing collateral
  • Influence the product roadmap through field-derived, data-driven recommendations
  • Serve as the tier-3 escalation point for complex technical challenges
  • Establish and refine sales qualification and POC intake processes
  • Build relationships with internal and external business partners
  • Drive thought leadership through mentoring and knowledge sharing

Requirements

What you’ll need
  • 5+ years in a customer-facing, pre-sales, or consulting role influencing technical executives and driving customer data and marketing strategy and product adoption
  • Minimum 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures focused on data and AI applications
  • Experience designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows
  • Ability to facilitate and influence executive stakeholders while aligning technology strategy to business value and ROI
  • Proficiency in AI-assisted programming, debugging, and problem-solving using SQL and Python
  • Experience collaborating with Global System Integrators and third-party consulting organizations
  • Hands-on experience building solutions in AWS, Azure, or GCP
  • Understanding of cloud-native data ingestion, activation, and governance
  • Deep experience in customer data and marketing analytics
  • Broad familiarity with data engineering, data warehousing, AI/ML for personalization, data governance, or streaming
  • Undergraduate degree or higher in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering, or similar
  • If access to export-controlled technology or source code is required, employment may depend on the employer obtaining a U.S. government license

Benefits

Comp & perks
  • Annual performance bonus eligibility
  • Equity eligibility
  • Comprehensive benefits and perks; specific benefits vary by region