Solutions Architect, CustomerLake
Databricks4 hours ago
Paris, FranceSenior
Responsibilities
- Provide technical leadership for strategic customer implementations spanning architecture, data engineering, identity resolution, audience activation, and agent deployment.
- Collaborate with GTM leadership and account teams to drive Customer Lake adoption across customer engagement and growth initiatives.
- Advise CMOs, MarTech leaders, data engineering leaders, and marketing and analytics teams as a trusted Solutions Architect.
- Deliver workshops, presentations, demos, POCs, and customer-facing technical collateral.
- Translate field insights into recommendations for Product and Engineering teams.
- Act as the tier-3 escalation point for complex customer-facing data environment challenges.
- Establish and refine sales qualification and POC intake processes.
- Collaborate with Global System Integrators and third-party consulting organizations.
Requirements
- 5+ years of CDP, MarTech, or customer data engineering expertise, including 3+ years in a customer-facing, pre-sales, or consulting role.
- Proven experience designing and delivering customer data and activation solutions.
- 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 and composable-CDP architectures, including Salesforce Data Cloud, Adobe, Segment, Treasure Data, Braze, or similar.
- Understanding of first-party and third-party data, identity graphs, consent and privacy signals, and MarTech/AdTech destinations.
- Experience operationalizing governed customer data products, audience and segment definitions in SQL or Genie, activation pipelines, and metric, identity, and consent governance in Unity Catalog.
- Hands-on experience building solutions in AWS, Azure, or GCP and understanding of cloud-native data ingestion, activation, and governance.
- Undergraduate degree or higher in Computer Science, Data Science, Applied Mathematics, Engineering, or a similar technical field.
Benefits
- Databricks offers comprehensive benefits and perks, with details varying by region.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).