Senior Databricks Architect

The Role

You'll play a pivotal role in delivering custom, enterprise-grade solutions that sit at the intersection of Databricks and Braze. You'll own end-to-end Lakehouse architecture and work directly with enterprise clients to design and build what makes Braze really sing: sharper data foundations, smarter segmentation, and AI-driven customer 360 solutions that wouldn't be possible without the right infrastructure underneath.

You'll combine deep technical expertise with the agility of a high-growth consultancy—hands-on in the platform in the morning, leading an architecture conversation with a CMO in the afternoon.

• Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders.
• Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse.
• Design integrations between Databricks and martech platforms (Braze, CDPs, ect) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis.
• Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics.
• Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions.
• Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance.
• Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters.
• Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation.
• Manage your time to meet billable targets of 36+ hours per week.
• Travel up to 20% for client meetings, workshops, and onsite engagements.

  What You'll Do

  Lead and drive client working sessions focused on data architecture and data mapping, bringing clarity and direction to complex discussions with senior stakeholders.

  Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption—leveraging Unity Catalog, Delta Lake, Delta Live Tables, and Databricks SQL Warehouse.

  Design integrations between Databricks and martech platforms (Braze, CDPs, ect) to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis.

  Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics.

  Review and interpret technical capability maps and frameworks, connecting them to data architecture and design decisions.

  Architect data governance, security, and access control policies using Unity Catalog, including lineage tracking, audit logging, PII masking, and marketing data privacy compliance.

  Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps; implement infrastructure-as-code and automated deployment for notebooks, jobs, and clusters.

  Partner with clients on roadmaps, POCs, and migrations; support pre-sales efforts with technical proposals, whiteboarding sessions, and project estimation.

  Manage your time to meet billable targets of 36+ hours per week.

  Travel up to 20% for client meetings, workshops, and onsite engagements.