9 дней назад
Sr. Solutions Architect (Customer Lake)
219 100 - 301 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Solutions Architect (Customer Lake) (Customer Data Platform/AI): Guiding strategic customers through Customer Lake implementations, from Customer 360 architecture and identity resolution to audience activation and agent deployment, with an accent on customer data, marketing analytics, and cloud-native architectures. Focus on designing complex data and AI applications, executing workshops and POCs, resolving tier-3 technical challenges, and influencing product strategy.
Location: United States
Salary: $219,100–$301,300 USD per year, plus potential annual performance bonus and equity.
Company
Databricks provides a Data and AI Platform used to build and scale data and AI applications, analytics, and agents.
What you will do
- Guide strategic customers through customer data and marketing implementations, including architecture, data engineering, identity resolution, audience activation, and agent deployment.
- Design engagement strategies with GTM leadership and account teams to drive Customer Lake adoption from Customer 360 implementation through CDP augmentation or replacement.
- Advise CMOs, MarTech leaders, data engineering executives, and marketing and analytics teams on Customer Lake architecture and adoption.
- Lead workshops, proof-of-concept execution, and customer-facing enablement to demonstrate the value of an embedded, agentic CDP.
- Translate field insights into recommendations for Product and Engineering teams and act as the tier-3 escalation point for complex technical challenges.
- Improve sales qualification and POC intake processes while mentoring others and sharing technical knowledge.
Requirements
- 5+ years of experience in customer-facing pre-sales or consulting roles influencing technical executives and driving customer data strategy and product adoption.
- 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures for data and AI applications.
- Experience designing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.
- Proficiency in AI-assisted programming, debugging, and problem-solving with SQL and Python.
- Hands-on experience with AWS, Azure, or GCP and cloud-native data ingestion, activation, and governance.
- Technical degree or higher in Computer Science, Data Science, Applied Mathematics, Engineering, or a similar field.
Nice to have
- Experience working with Global System Integrators and third-party consulting organizations.
- Expertise in data engineering, data warehousing, AI/ML personalization, data governance, or streaming.
Culture & Benefits
- Comprehensive benefits and region-specific perks.
- Potential annual performance bonus and equity.
- Commitment to a diverse and inclusive workplace.
- Databricks operates a global organization with more than 30 offices.
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