Sr. Solutions Architect, Customer Lake

What you'll do

• Guide strategic customers through architecture, engineering, identity resolution, audience activation, and agent deployment; deliver workshops, demos, and proofs of concept.
• Partner with GTM and account teams to drive adoption, advise executive and technical stakeholders, and resolve complex customer issues.
• Share field insights with Product and Engineering, refine qualification and POC processes, and mentor others.

What they ask for

• 5+ years in a customer-facing, presales, or consulting role influencing technical executives and driving customer data and marketing strategy and product adoption.
• 2+ years implementing modern data estate, CDP, and Lakehouse architectures focused on data and AI applications.
• Experience designing and implementing marketing and customer-engagement data/AI applications, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.
• Technical undergraduate degree or higher; proficiency using SQL and Python for AI-assisted programming, debugging, and problem-solving.

Nice to have

• Experience working with Global System Integrators and third-party consulting organizations on customer data and marketing initiatives.
• Hands-on experience in AWS, Azure, or GCP; familiarity with data engineering, warehousing, AI/ML for personalization, governance, or streaming.

Pay

$219,100 — $301,300 USD base salary (Zone 1); $219,100 — $301,300 USD base salary (Zone 2); $219,100 — $301,300 USD base salary (Zone 3); $219,100 — $301,300 USD base salary (Zone 4)

Tools

SQL, Python, AWS, Azure, GCP

AI focus

Apply data and AI to marketing and customer engagement, including personalization, next-best-action, and agentic workflows for audience building and campaign activation.