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We help marketers get more from their tech stacks — with a focus on driving success with Braze and Segment.
Technical Architect – Databricks
Location
United States
Posted
87 days ago
Salary
0
Seniority
Lead
Job Description
Technical Architect – Databricks
Stitch
- 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, Segment, CDPs) 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.
Job Requirements
- 8+ 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, HubSpot, 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.
- Certifications
- Databricks Data Engineer Professional and/or Platform Architect accreditation (required or in progress).
- Braze certifications are a plus—we develop platform expertise internally.
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
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