Technical Architect

About the role

As a Technical Architect at Stitch, you will partner directly with clients to design and implement custom API integrations between Braze and client systems. You will also architect data ingestion, write Python and/or JavaScript for middleware development, and support SDK implementations and troubleshoot mobile/web integration issues.

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 tooling, 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

Requirements

• 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

Qualifications

• Advanced Liquid: complex logic, nested conditions, data transformations, error handling, and Connected Content
• 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 is a big bonus!
• 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
• Tools You'll Use: Braze (advanced configuration, API automation), Postman (complex chaining, environments, automated testing), VS Code / Cursor (proficient development), LucidChart (client-ready diagrams), Bitbucket and Git/GitHub (branching, merging, collaboration), Segment or other CDP (advanced configuration), PGAdmin or database tool for query analysis, Chrome DevTools for network debugging, Snowflake and/or Databricks (data warehouse and lakehouse querying, pipeline integration)

Skills

• 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 is a big bonus!
• 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
• Tools You'll Use: Braze (advanced configuration, API automation), Postman (complex chaining, environments, automated testing), VS Code / Cursor (proficient development), LucidChart (client-ready diagrams), Bitbucket and Git/GitHub (branching, merging, collaboration), Segment or other CDP (advanced configuration), PGAdmin or database tool for query analysis, Chrome DevTools for network debugging, Snowflake and/or Databricks (data warehouse and lakehouse querying, pipeline integration)

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

Pay

TBD

Schedule

TBD