Technical Architect – Databricks

Role Overview

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• PySpark
• Scala
• SQL
• Terraform
• Unity
• Vault

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