[Hiring] Technical Architect @Stitch Consulting Services, Inc.

Role Description

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.

Qualifications

• 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.

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.

Benefits

• Flexible PTO policy
• Monthly tech stipend
• Paid parental leave
• Medical, dental, vision, and life insurance
• In-person onboarding experience at our HQ in Indianapolis, Indiana
• Free mental wellness resources
• 401k with company match

Certifications You’ll Get

• Day 30: Braze Certified Developer
• Day 30: Braze Certified Technical Marketing Expert
• Day 30: Partner Led Onboarding (PLO Steps 1-4)
• Day 60: Braze Certified Marketing Specialist
• Day 60: Databricks Fundamentals
• Day 60: AI Fundamentals
• Day 90: Braze Certified Marketing Strategy Expert
• Day 90: Databricks AI Agent Fundamentals
• Day 90: Databricks Generative AI Fundamentals