[Hiring] Senior Databricks Architect @Stitch Consulting Services, Inc.

Role Description

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
• AI-driven customer 360 solutions

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.

Qualifications

• 5+ years of experience in data engineering or data architecture.
• 3+ years of hands-on Databricks experience, including PySpark, SQL, and Scala.
• Proven experience integrating Databricks with Braze or similar martech platforms for marketing analytics (Salesforce Marketing Cloud, Responsys, Adobe).
• Deep expertise in Delta Lake, Unity Catalog, Delta Live Tables, structured streaming, and MLflow.
• Strong data modeling skills across medallion architecture, Star Schema, and Data Vault.
• Cloud platform experience across AWS, Azure, or GCP, with proficiency in IaC tooling such as Terraform and ARM templates.
• Track record of leading and mentoring engineering teams in consulting environments.
• Client-facing experience within an agency or consultancy required.
• Must be eligible to work in the United States or Canada without visa sponsorship, now or in the future.

Requirements

• Lead and drive client working sessions focused on data architecture and data mapping.
• Design and own end-to-end Databricks Lakehouse architecture for marketing data ingestion, transformation, storage, and consumption.
• Design integrations between Databricks and martech platforms to enable customer 360 views, churn prediction, media mix modeling, dynamic pricing, and lifetime value analysis.
• Design and implement robust data models optimized for marketing analytics workloads.
• Enable marketers to query data conversationally and generate actionable insights without SQL.
• 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.
• Architect data governance, security, and access control policies using Unity Catalog.
• Integrate Databricks workflows into CI/CD pipelines using Terraform, Git, and Azure DevOps.
• Partner with clients on roadmaps, POCs, and migrations.
• Manage your time to meet billable targets of 36+ hours per week.
• Travel up to 20% for client meetings, workshops, and onsite engagements.

Benefits

• Medical, dental, vision, and life insurance.
• 401k with company match.
• Flexible PTO policy.
• Monthly tech stipend.
• Paid parental leave.
• In-person onboarding experience at our HQ in Indianapolis, Indiana.
• Mental well-being support.