Sr. Solutions Architect, Customer Lake
About this role
The Customer Lake Solutions Architect engages clients across business units and verticals to position Customer Lake in depth and deliver presentations, demos, and proofs of concept that drive informed adoption decisions. Operating within a dedicated global go-to-market organization, this professional provides technical leadership for strategic customer implementations ranging from architectural design and data engineering to identity resolution and agent deployment.
Databricks builds the Data Intelligence Platform, helping organizations scale data and AI applications and analytics. The team focuses on driving adoption and revenue growth for Customer Lake, an agentic Customer Data Platform built natively into the Lakehouse. Success in the role requires bridging technical depth with executive presence, serving as a trusted advisor to Chief Marketing Officers, marketing technology heads, and data engineering leaders.
What you will do
- Provide technical leadership to guide strategic customers through successful implementations on customer data and marketing projects.
- Collaborate with go-to-market leadership and account teams to design and execute high-impact engagement strategies across the territory.
- Serve as an expert Solutions Architect building technical credibility with executive stakeholders to drive product adoption and vision.
- Enable clients at scale through workshops, proof of concept execution, and customer-facing collateral development.
- Translate field-derived insights into strategic recommendations for Product and Engineering teams to influence the product roadmap.
- Act as a tier-three escalation point for the field to handle complex technical challenges in mission-critical environments.
- Establish and refine sales qualification and proof of concept intake processes for well-scoped engagements.
What you need
- Have at least 5 years of experience in a customer-facing, pre-sales, or consulting role influencing technical executives and driving product adoption.
- Bring a minimum of 2 years of experience implementing modern data estate, customer data platform, and Lakehouse architectures.
- Demonstrate hands-on experience designing data and AI applications for marketing, personalization, identity resolution, and agentic workflows.
- Possess proficiency in AI-assisted programming, debugging, and problem-solving using SQL and Python.
- Show experience collaborating with global system integrators and third-party consulting organizations to drive customer outcomes.
- Have practical experience building solutions within major public cloud environments such as AWS, Azure, or GCP.
- Hold an undergraduate degree or higher in a technical field like Computer Science, Data Science, Applied Mathematics, or Engineering.
Skills and tech stack
Questions candidates ask
What is the salary range for this role?
The base salary range for Zone 1, Zone 2, Zone 3, and Zone 4 is $219,100 to $301,300 USD. Actual compensation packages are based on several factors including job-related skills, depth of experience, relevant certifications, and specific work location.
What kind of experience is required for this position?
Candidates need at least 5 years in a customer-facing, pre-sales, or consulting role influencing technical executives. Additionally, applicants must have a minimum of 2 years of experience implementing modern data estate, customer data platform, and Lakehouse architectures.
What technologies and tools will I work with?
The tech stack involves working with SQL, Python, public cloud environments like AWS, Azure, and GCP, and Databricks platforms including Customer Lake and the Lakehouse.