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Описание вакансии
Текст:
TL;DR
Solutions Architect (Customer Lake) (CDP/AI): Driving customer adoption of an agentic Customer Data Platform by designing customer data and marketing solutions spanning Customer 360 profiles, identity resolution, audience activation, and agent deployment with an accent on technical leadership, pre-sales architecture, and governed data products. Focus on delivering workshops, POCs, and complex tier-3 solutions while translating customer insights into product roadmap recommendations.
Location: Munich, Germany
Company
Databricks is a Data and AI company providing a unified platform for data, analytics, applications, and agents.
What you will do
- Guide strategic customers through implementations involving Customer 360, data architecture, data engineering, identity resolution, audience activation, and agent deployment.
- Collaborate with GTM leadership and account teams to drive Customer Lake adoption from initial Customer 360 development through CDP augmentation or replacement.
- Build technical credibility with CMOs, MarTech leaders, data engineering teams, and marketing and analytics stakeholders.
- Deliver workshops, proofs of concept, presentations, demos, and customer-facing technical collateral.
- Influence the product roadmap by translating field insights into recommendations for Product and Engineering.
- Act as the tier-3 escalation point for complex technical challenges and refine sales qualification and POC intake processes.
Requirements
- 5+ years of experience in CDP, MarTech, or customer data engineering, including 3+ years in customer-facing, pre-sales, or consulting roles.
- Experience designing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.
- Deep familiarity with CDP and MarTech/AdTech platforms such as Salesforce Data Cloud, Adobe, Segment, Treasure Data, or Braze.
- Experience with governed data products, SQL or natural-language audience definition, reverse-ETL and activation pipelines, and metric, identity, and consent governance in Unity Catalog.
- Hands-on experience with AWS, Azure, or GCP and cloud-native data ingestion, activation, and governance.
- Undergraduate degree or higher in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical field.
Nice to have
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Experience with customer data migration strategies and composable-CDP architectures.
Culture & Benefits
- Work within a dedicated global go-to-market organization focused on Customer Lake adoption and growth.
- Comprehensive employee benefits and region-specific perks.
- Inclusive workplace committed to equal employment opportunity and diversity.
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