Stitch

Technical Architect – Databricks

Stitch

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPySparkScalaSQLTerraformUnityVault

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata mappingDatabricks LakehouseUnity CatalogDelta LakeDelta Live TablesDatabricks SQL WarehousePySparkSQLScala
Soft Skills
leadershipclient-facingmentoringcommunicationtime management
Certifications
Databricks Data Engineer ProfessionalDatabricks Platform ArchitectBraze certifications