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Описание вакансии
Текст:
TL;DR
Solutions Architect (CustomerLake) (CDP/MarTech): Designing and delivering customer data and marketing solutions for Customer Lake, including Customer 360 profiles, identity resolution, audience activation, and agent deployment with an accent on governed data products, composable CDP architectures, and cloud-native implementations. Focus on leading strategic customer engagements, executing workshops and POCs, resolving complex tier-3 technical challenges, and translating field insights into product roadmap recommendations.
Location: Amsterdam, Netherlands
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, AI applications, and agents.
What you will do
- Guide strategic customers through implementations involving customer data architecture, data engineering, identity resolution, audience activation, and agent deployment.
- Partner with GTM leadership and account teams to drive Customer Lake adoption from Customer 360 foundations through CDP augmentation or replacement.
- Build technical credibility with CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams.
- Deliver workshops, presentations, demos, proofs of concept, and customer-facing technical collateral.
- Act as the tier-3 escalation point for complex technical challenges in customer-facing data environments.
- Translate field insights into product and engineering roadmap recommendations and refine the sales qualification and POC intake process.
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 and implementing 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, composable CDP architectures, identity resolution, audience activation, and migration strategies.
- Experience with governed data products, SQL or natural-language audience definition, reverse-ETL and activation pipelines, and metric, identity, and consent governance.
- 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 similar technical field.
Nice to have
- Experience collaborating with Global System Integrators and third-party consulting organizations.
- Experience with Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze, or similar platforms.
Culture & Benefits
- Comprehensive benefits and perks are offered according to the employee's region.
- Inclusive workplace focused on equal employment opportunity and enabling employees to excel.
- Databricks operates as a global organization with offices around the world.
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