MarTech Developer

Job Description

Job Description: MarTech Developer (Retail Omnichannel)

Location: Charlotte, NC (Onsite)

About the Role

We are seeking a versatile, full-stack MarTech Developer with proven retail experience to bridge the gap between our enterprise data platforms, custom backend applications, and customer engagement channels. In this role, you will be instrumental in powering personalized omnichannel customer experiences across email, SMS, push, loyalty, and in-app touchpoints.

Our marketing technology stack centers on Snowflake , a Customer Data Platform (CDP) , and Braze , tightly integrated with custom backend services written primarily in Java (with select services in .NET ). You will not only engineer the data pipelines and activation flows that move customer and catalog data across these systems, but also collaborate directly with marketing stakeholders and backend engineers to build robust integrations, debug end-to-end data flows, and ensure high deliverability and identity resolution.

Key Responsibilities

1. Data Activation & Pipeline Engineering

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• Design, develop, and maintain automated batch and near-real-time data pipelines in Snowflake using SQL and Python .
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• Orchestrate data feeds between Snowflake, the enterprise CDP, and Braze—ensuring timely synchronization of unified customer profiles, behavioral events, purchase history, loyalty tiers, and product catalogs.
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• Manage data modeling, schema evolution, and backfills for customer attributes, event schemas, and historical metrics.
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• Ensure strict adherence to customer consent, subscription preferences, and data privacy standards (CCPA, TCPA, CAN-SPAM) across all outbound activation channels.
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2. Application Integration & Middleware Services

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• Build, enhance, and troubleshoot integration endpoints connecting custom retail applications (built in Java/Spring and .NET/C#) with the CDP, Braze REST APIs, and upstream retail systems (POS, OMS, and eCommerce).
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• Implement secure API integrations, webhooks, and event-driven data streaming to capture and activate real-time store and digital customer signals.
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• Define and maintain data contracts, documenting payload schemas, API rates, dependencies, and event trigger definitions.
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3. Customer Engagement & Braze Enablement

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• Support marketing teams in configuring advanced Braze Canvases, audiences, and journey logic that consume CDP and Snowflake data.
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• Develop and maintain dynamic personalization logic using Liquid syntax , HTML/CSS, and Connected Content calling internal APIs or catalogs.
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• Partner with campaign operations to validate event tracking, custom attributes, message frequency capping, and audience suppression rules.
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4. Operations, Quality Assurance & Collaboration

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• Lead end-to-end QA and reconciliation testing across application logs, Snowflake tables, CDP profiles, and Braze audience counts to prevent data discrepancies.
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• Triage identity resolution issues, such as duplicate profiles, low match rates, unlinked anonymous-to-known sessions, and webhook failures.
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• Implement automated monitoring, alerting, and error-handling routines across pipelines and API calls.
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• Maintain Git-based CI/CD workflows, clear architecture diagrams, and runbooks in Jira and Confluence.
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Required Qualifications

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• Experience: 6+ years of technical experience in marketing technology, data integration, or software engineering within a retail, DTC, or eCommerce ecosystem.
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• Cloud Data Warehousing: Advanced SQL proficiency and hands-on data engineering experience with Snowflake (DDL, performance tuning, data sharing, Streams/Tasks, or Snowpark).
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• Backend Development: Solid development experience in Java (core Java, Spring Boot, REST APIs); working knowledge or comfort reading and supporting .NET/C# applications.
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• Scripting & Automation: Strong Python skills for API integrations, data processing, and automation scripts.
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• CDP & Marketing Platforms: Direct experience working with an enterprise CDP (e.g., Tealium, ActionIQ, Segment, mParticle, or Treasure Data) and a customer engagement platform such as Braze .
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• Braze & Personalization: Hands-on experience with Braze APIs, Webhooks, Canvas setups, and Liquid templating .
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• DevOps & Tooling: Proficiency with Git, CI/CD deployment pipelines, containerized environments, and enterprise job schedulers.
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• Retail Domain Knowledge: Strong understanding of retail data constructs: omnichannel transaction lifecycles, store POS feeds, order management (OMS), catalog feeds, and loyalty rewards.
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Preferred Qualifications

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• Official Braze certifications ( Braze Certified Technical Architect , Practitioner , or Marketer ).
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• Snowflake SnowPro certification.
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• Experience with message brokers/event streaming platforms (Kafka, AWS SQS/SNS, or Azure Event Hubs).
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• Hands-on experience with reverse-ETL tooling (e.g., Census, Hightouch) or enterprise middleware (MuleSoft).
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• Familiarity with cross-border team delivery models, with experience collaborating seamlessly across onshore and offshore time zones.
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Key Performance Indicators (What Success Looks Like)

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• Data Accuracy & Latency: Inbound customer attributes, transactions, and audience feeds reach the CDP and Braze within established SLAs with zero unexplained drift or duplication.
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• Reliable Integrations: Custom Java and .NET connectors operate with high availability, robust retry mechanisms, and actionable error telemetry.
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• Marketing Agility: Marketing stakeholders can launch complex, targeted omnichannel journeys without dependency on manual workarounds or unverified data.
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• Compliance & Trust: Zero unhandled opt-out or consent discrepancies across the retail data footprint.
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