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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →