Lead discovery workshops to understand client objectives, existing systems, data flows, and constraints.

Define target-state architecture for CRM, CDP, and marketing automation, including integration patterns, governance, and scalability considerations.

Translate business problems into technical solution options, with clear trade-offs, effort estimates, and risks.

Guide implementations end-to-end, from documentation and planning through detailed requirements and support for build.

Produce high-quality technical artifacts including architecture diagrams, data flow maps, event and identity models, and implementation roadmaps.

Write clear technical requirements for engineers, partnering with technical project management to scope, sequence, and deliver work.

Partner with client stakeholders to drive decisions and keep delivery aligned to outcomes, timelines, and dependencies.

Architect and support integrations across the MarTech stack, including CDPs, marketing automation platforms, analytics, attribution, and enrichment tools.

Design data schemas and event tracking plans that support lifecycle use cases and analytics needs.

Support ETL and reverse ETL patterns to activate data into downstream destinations.

Ensure solutions account for omnichannel transactional and marketing messaging, customer journeys, user states, and event-driven automation.

5+ years of software development experience.

5+ years of experience integrating third-party tools, including involvement in planning and developing ETL solutions.

2+ years of hands-on experience with CDPs, specifically Mixpanel or Tealium.

2+ years of experience working directly with clients or key stakeholders.

Demonstrated experience designing and architecting a CDP and/or marketing automation integration, and ability to walk through the full implementation lifecycle.

Experience working with APIs and at least one of the following: Mobile SDKs, HTML, CSS, JavaScript.

Experience with cloud platforms such as AWS (EC2, S3, Lambda, Redshift), GCP, Heroku, or iPaaS tools.

Experience defining cross-platform technical requirements across the MarTech stack.

Platform experience implementing CDPs such as Segment, RudderStack, mParticle, Tealium, or similar.

Experience configuring lifecycle journeys and campaigns in tools like Braze, Iterable, Klaviyo, Customer.io, or similar.

Familiarity with analytics, enrichment, and attribution tools and approaches.

Understanding of marketing attribution, including auditing integrations and attribution data.

Proficiency with JSON and SQL, including data modeling best practices.

Experience with reverse ETL tools such as Hightouch or Census.

Experience with scripting languages and serverless patterns, including lambda functions.

Ability to clearly present technical concepts and recommendations to non-technical stakeholders.

Platform experience with Shopify or Magento.