Technical Architect

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. As a Senior Technical Architect, you design and implement end-to-end integrations between Braze and the systems around it—CDPs, CRMs, data warehouses, middleware, and custom APIs. You write production-quality code in Python or JavaScript for middleware and automation, architect data ingestion patterns, and design event schemas optimized for scale. You're fluent in modern data platforms like Databricks and Snowflake—understanding how data moves from lakehouse to CDP to activation layer, and how to design integrations that hold up at enterprise scale. You're the person who debugs complex integration failures using logs, network traces, and API testing tools. You lead technical workstreams, mentor Consultant Architects, and advise clients on the optimal technical approach for their environment.

Requirements

Advanced Liquid: complex logic, nested conditions, data transformations, error handling, and Connected Content.
Python and/or JavaScript: functional scripts for middleware, automation, and authentication management.
Custom API integrations: REST, webhooks, authentication flows. Complex Postman request chaining and automated testing.
SQL for data analysis and transformation logic. Complex JOINs and INSERT functions—comfortable querying directly in Snowflake or Databricks.
Data architecture: schema design for complex use cases, normalization, performance considerations—including lakehouse and cloud data warehouse patterns.
Familiarity with Databricks (Delta Lake, notebooks, Unity Catalog) and/or Snowflake (data sharing, Snowpipe, dynamic tables) as data sources powering downstream marketing activation.
Segment/CDP: advanced configuration, ID resolution, custom transformations, issue diagnosis.
SDK implementations and mobile/web troubleshooting with code samples.
Debugging: logs, network traces, API responses, Chrome DevTools.
Comprehensive documentation: client-ready data flow, user flow, and experience diagrams with standard notation. Clear guidance and explanations of architected solutions, decisions made, future versions, testing plans, and go-live approaches.
5–9 years of marketing technology consulting experience or applicable experience in technical roles with integration and architecture focus.
Proficient in Python or JavaScript. Comfortable writing production-quality integration code.
Experience leading technical workstreams on client projects.
Experience with data integration platforms (e.g., Snowflake, Databricks).
Experience leveraging AI code editors in your daily work (e.g., Cursor).
Client-facing experience within an agency or consultancy required.
Must be eligible to work in the United States, UK, or Canada without visa sponsorship.

Responsibilities

Partner directly with clients to design and implement custom API integrations (REST, webhooks, authentication flows) between Braze and client systems.
Architect data ingestion—event schemas, data models, and integration patterns (batch, streaming, event-driven) optimized for scale, including pipelines sourced from Snowflake and Databricks environments.
Write Python and/or JavaScript for middleware development, automation, and authentication flows.
Configure advanced Segment/CDP environments: ID resolution, custom transformations, workspace management, issue diagnosis—including connections to cloud data platforms.
Support SDK implementations and troubleshoot mobile/web integration issues with code samples and best practices.
Debug integration failures using logs, network traces, API testing tools, and Chrome DevTools.
Lead technical workstreams within larger project plans. Balance technical perfection with timeline pragmatism.
Create client-ready technical documentation: architecture diagrams, API specs, data dictionaries, runbooks.
Mentor Consultant Technical Architects on integration approaches, troubleshooting, and client communication.
Manage your time to meet billable targets of 36+ hours per week.
Travel up to 20% for client meetings, workshops, and onsite engagements.