Sr. Solutions Architect, Customer Lake
Skills
About the role
This is a solutions architect role driving adoption of Customer Lake, Databricks' agentic Customer Data Platform built natively into the Data Intelligence Platform. It suits an experienced pre-sales or consulting professional who wants to work with marketing and data stakeholders on customer data and identity resolution projects, based in the United States. The role acts as a tier-3 technical escalation point and works closely with GTM leadership across a territory.
What you’ll do
- Provide technical leadership guiding strategic customers through implementations spanning architecture, data engineering, identity resolution and agent deployment
- Collaborate with GTM leadership and account teams to design and execute engagement strategies across a territory
- Serve as a trusted advisor to CMOs, MarTech leaders, data engineering leaders and marketing/analytics teams
- Enable clients through workshops, proof-of-concept execution and customer-facing collateral
- Influence product roadmap by translating field-derived insights into strategic recommendations
- Act as the tier-3 escalation point for the most complex technical challenges
- Establish and refine sales qualification and proof-of-concept intake processes
- Build relationships with internal and external business partners
What they’re looking for
- 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives
- 2+ years implementing modern data estate, CDP and Lakehouse architectures
- Experience with data and AI applications for marketing and customer engagement, including identity resolution and personalization
- Ability to facilitate and influence executive stakeholders on technology strategy and ROI
- Proficiency in AI-assisted programming, debugging and problem-solving using SQL and Python
- Experience collaborating with Global System Integrators and third-party consulting organizations
- Hands-on experience with major public cloud environments (AWS, Azure or GCP)
- Deep experience in customer data and marketing analytics
- Undergraduate degree or higher in a technical field
What’s on offer
- Pay range of $219,100 to $301,300
- Eligibility for annual performance bonus and equity
- Additional benefits described on the employer's benefits page
Questions about this role
How much does this role pay?
The pay range is $219,100 to $301,300.
How many years of experience are required?
5+ years in a customer-facing pre-sales or consulting role, plus at least 2 years implementing CDP and Lakehouse architectures.
Do I need a degree?
An undergraduate degree or higher in a technical field is required.
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