Senior Databricks Architect

Stitch Consulting Services, Inc.

3h•Hybrid

About The Position

Stitch is a leading CRM consultancy that helps brands enhance their performance through Braze and Databricks. They collaborate with Fortune 1000 companies to develop and implement martech-driven solutions and lifecycle marketing strategies. The company is experiencing rapid growth and is expanding its team across the US, UK, and Canada. Stitch is committed to being the best CRM consultancy globally, focusing on impact and continuous improvement. They seek motivated individuals who are driven by performance, constantly look for opportunities to grow, and possess high standards, agility, and ownership. The Senior Databricks Architect will be crucial in delivering custom, enterprise-grade solutions at the intersection of Databricks and Braze. This role involves owning end-to-end Lakehouse architecture and working directly with clients to build robust data foundations, advanced segmentation, and AI-driven customer 360 solutions. The position requires a blend of deep technical expertise and consultancy agility, with responsibilities ranging from hands-on platform work to high-level architectural discussions with clients.

Requirements

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.

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, CDPs, ect) 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.