Solutions Architect - CustomerLake
Leads customer-facing architecture, demonstrations, proofs of concept, and implementation guidance for an agentic customer data platform. Requires 5+ years in CDP, MarTech, or customer data engineering, including substantial pre-sales or consulting experience.
About the job
Responsibilities
- Provide technical leadership for strategic customer implementations spanning architectural design, data engineering, identity resolution, audience activation, and agent deployment.
- Collaborate with GTM leadership and account teams on engagement strategies that drive Customer Lake adoption from Customer 360 development through CDP augmentation or replacement.
- Advise CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams as a trusted Solutions Architect.
- Deliver workshops, proofs of concept, presentations, demos, and customer-facing technical collateral.
- Translate field insights into recommendations for Product and Engineering roadmap development.
- Serve as a tier-3 escalation point for complex technical challenges in customer-facing data environments.
- Establish and improve sales qualification and POC intake processes.
- Collaborate with global system integrators and third-party consulting organizations.
Requirements
- 5+ years of experience in customer data platforms, marketing technology, or customer data engineering, including 3+ years in a customer-facing, pre-sales, or consulting role.
- Experience designing and implementing data and AI applications for marketing and customer engagement, including identity resolution, segmentation, personalization, next-best action, and agentic AI workflows.
- Deep familiarity with CDP and MarTech/AdTech platforms, including composable CDP architectures and implementation, identity resolution, audience activation, and migration strategies.
- Understanding of first-party and third-party data, enrichment data, identity graphs, consent and privacy signals, and marketing activation destinations.
- Experience operationalizing governed customer data products, including audience and segment definition in SQL or natural language, reverse ETL and activation pipelines, and metric, identity, and consent governance.
- Hands-on experience building solutions in AWS, Azure, or Google Cloud.
- Bachelor's degree or higher in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical field.
Nice-to-haves
- Experience with Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze, or similar platforms.
- Experience with Databricks Customer Lake, Unity Catalog, Genie, or agentic CDP architectures.
- Experience working with global system integrators on marketing and customer data initiatives.
Skills
Customer Data Platforms, Marketing Technology, Identity Resolution, Audience Activation, Agentic AI, SQL, Reverse Etl, Unity Catalog, AWS, Microsoft Azure, GCP, Salesforce Data Cloud, Adobe, Segment, Braze
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