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Sr. Solutions Architect, Customer Lake

Databricks· Engineering
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Full-timePosted 1mo ago

About the role

Solutions Architect focused on Customer Lake, Databricks’ agentic Customer Data Platform (CDP). Drives adoption and revenue growth by engaging clients, delivering presentations, demos, and POCs, and shaping technical roadmaps across marketing and data stakeholders.

Responsibilities

  • Provide technical leadership to guide strategic customers to successful implementations on customer data and marketing projects, including architectural design, data engineering, identity resolution, audience activation, and agent deployment
  • Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across territory to drive Customer Lake adoption
  • Serve as an expert Solutions Architect building technical credibility with CMOs, heads of marketing technology, data engineering leaders, and marketing and analytics teams to drive product adoption and vision
  • Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that demonstrates value of an embedded, agentic CDP architecture
  • Influence product roadmap by translating field-derived insights into strategic recommendations for Product and Engineering teams
  • Handle complex technical challenges as tier-3 escalation point for the field to ensure customer success in critical environments
  • Establish and refine sales qualification and POC intake process to maximize customer success and minimize friction for R&D
  • Build strong relationships with internal and external partners to support growth
  • Drive thought leadership through mentoring and knowledge sharing

Qualifications

  • 5+ years in a customer-facing, pre-sales, or consulting role influencing technical executives, driving high-level customer data and marketing strategy, and product adoption
  • Minimum 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures with focus on data and AI applications
  • Experience with design and implementation of data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization and next-best-action, and agentic AI workflows for audience building and campaign activation
  • Facilitate and influence Executive stakeholders while aligning technology strategy to business value and ROI
  • Proficient in AI assisted programming, debugging, and problem-solving using SQL and Python
  • Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in marketing and customer data initiatives
  • Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP) with understanding of cloud-native data ingestion, activation, and governance
  • Deep experience in customer data and marketing analytics, with familiarity across data engineering, data warehousing, AI/ML for personalization, data governance, and streaming
  • Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar

Skills

Required:Customer-facing pre-sales experience

Benefits

  • Benefits details available via regional link (see job posting)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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