Senior Solutions Architect, Customer Lake

This is a fully remote position, open to applicants in California.

📋 Description

• Provide technical direction for strategic customer implementations related to customer data and marketing initiatives.

• Oversee architectural design, data engineering, identity resolution, audience activation, and agent deployment.

• Collaborate with GTM leadership and account teams on engagement strategies throughout the territory.

• Promote Customer Lake adoption from Customer 360 build-out through the augmentation or replacement of CDPs.

• Counsel CMOs, MarTech leaders, data engineering heads, and marketing and analytics teams.

• Conduct workshops, proofs of concept, and create customer-facing materials.

• Shape the product roadmap using field-derived, data-driven insights.

• Act as the tier-3 escalation point for intricate technical issues.

• Establish and enhance sales qualification and proof of concept intake processes.

• Cultivate relationships with both internal and external business partners.

• Promote thought leadership through mentoring and knowledge sharing.

⛳️ Requirements

• Over 5 years in a customer-facing, pre-sales, or consulting position influencing technical executives and driving customer data, marketing strategy, and product adoption.

• At least 2 years of experience implementing modern data estate, Customer Data Platform (CDP), and Lakehouse architectures focused on data and AI applications.

• Proven experience in designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best-action, and agentic AI workflows.

• Capacity to facilitate and influence executive stakeholders while aligning technology strategy with business value and ROI.

• Proficient in AI-assisted programming, debugging, and problem-solving using SQL and Python.

• Experience collaborating with Global System Integrators and third-party consulting firms.

• Practical experience in building solutions on AWS, Azure, or GCP.

• Knowledge of cloud-native data ingestion, activation, and governance.

• Extensive experience in customer data and marketing analytics.

• Broad understanding of data engineering, data warehousing, AI/ML for personalization, data governance, or streaming.

• An undergraduate degree or higher in a technical discipline such as Computer Science, Data Science, Applied Mathematics, Engineering, or a related field.

• Employment may be contingent on the employer obtaining a U.S. government license if access to export-controlled technology or source code is necessary.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity eligibility.

• A comprehensive range of benefits and perks; specific benefits may vary by region.