Technical Architect - Databricks

Stitch Consulting Services, Inc.

About The Position

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—producing award-winning work for brands like Taco Bell and e.l.f. cosmetics. 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 Technical Architect — Databricks, you’ll play a pivotal role in scaling Stitch’s Databricks consulting practice. You’ll own end-to-end Lakehouse architecture, from Braze and Segment integrations to AI-driven customer 360 solutions, combining deep technical expertise with the agility of a high-growth consultancy. You’ll be instrumental in shaping how Stitch delivers Databricks solutions and building something that didn’t exist here before. To thrive in this role, you’ll need to be as comfortable presenting architecture recommendations to senior client stakeholders as you are writing PySpark. You bring a strong point of view, a curiosity-first approach to client problems, and the drive to make a real impact.

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.

Nice To Haves

Braze certifications are a plus—we develop platform expertise internally.

Responsibilities

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.