Senior Databricks Architect

Stitch is the global leader in helping brands drive CRM performance through Braze and Databricks. We work with Fortune 1000 brands to design and execute martech-driven solutions and lifecycle marketing strategies that drive meaningful outcomes. Our fast-growing team spans the US, UK, and Canada. We’re actively building the best customer relationship marketing (CRM) consultancy in the world. Not the biggest—the best. We’re looking for teammates who are energized by this challenge. Who You Are First and foremost, you’re motivated by impact. To be the best CRM consultancy in the world, we have to be motivated by performance—both in how our work drives outcomes for our customers, and for how our work drives outcomes for Stitch. This means you’re not content with the status quo. You’re always looking towards what’s next and seeking opportunities to grow yourself, grow our customers, and grow Stitch. You have relentless standards and uphold them unapologetically. You move nimbly, take ownership, drive things forward, and make the people around you better. If this sounds like you, you will thrive here. The Role As a Senior Databricks Architect, 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. To thrive in this role, you'll need to be as comfortable writing PySpark as you are presenting recommendations to a marketing or data engineering team. You bring a strong point of view, a curiosity-first approach to client problems, and the drive to build something at Stitch that didn't exist before you got here. 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. Design and implement robust data models—including medallion architecture, Star Schema, and Data Vault—optimized for marketing analytics workloads. Enable marketers to query data conversationally and generate actionable insights without SQL through Databricks Genie and AI-powered analytics. Support the design and implementation of AI agents using Agent Bricks and the Mosaic AI Agent Framework. 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. How You Consult At Stitch, every role is expected to operate as a trusted advisor whose expertise helps our clients with their business needs. As a Databricks Architect, your credibility comes from deep technical depth combined with the ability to communicate clearly across technical and business audiences. Lead requirements, validation, and ideation sessions with technical and business stakeholders. Advise clients on data architecture and platform tradeoffs. Navigate ambiguity and translate between marketers and engineers. Build relationships with client technical leads. Become the architect they trust and request. Bring a strong point of view and recommendations—not just options. Anticipate what the client needs before they ask. Own outcomes on your technical workstream. Lead without being asked. Share feedback with peers regularly that makes all of us better. What Success Looks Like Clients see you as a trusted data architecture advisor. You’re confident meeting with senior stakeholders and bringing a strong point of view around best practices and creative solutions. You show up to every meeting prepared and engaged. Ever