Marketing Technology and Integrations Architect
Role details
Job location
Tech stack
Job description
The client is a prominent global technology solutions provider, renowned for its comprehensive range of services and products tailored to meet the diverse needs of businesses. The company's core focus revolves around assisting organizations in managing and optimizing their IT operations, thereby driving productivity, efficiency, and innovation. It offers an extensive array of services, including strategic consulting, technology implementation, cloud computing, data center management, cybersecurity, software licensing, and hardware procurement. In addition to its business-to-business (B2B) services, it also serves as a valuable resource for IT professionals and decision-makers, providing valuable insights and thought leadership through its various publications, webinars, and events.
Rate Range: $90-$95/Hr
Requirements
- 10+ years of progressive experience in marketing technology architecture, enterprise data integration, or customer data platform design and implementation
- Demonstrated track record of designing and delivering marketing technology ecosystems that integrate campaign management, CRM, CDP, data warehouse, and multi-channel delivery platforms
- Hands-on experience with real-time data integration technologies - Azure Event Hub, Apache Kafka, Change Data Capture (CDC), or equivalent streaming/event-driven architectures
- Experience with cloud data platform architecture (Azure Synapse, Databricks, Snowflake, or equivalent) including medallion/lakehouse patterns, data lake design, and data pipeline orchestration
- Proven experience leading marketing platform migrations of significant complexity - moving marketing operations from one platform to another while maintaining zero disruption to live campaigns and customer communications
- Experience managing RFP processes for marketing technology platforms - defining technical requirements, evaluating vendor architectures, conducting technical due diligence, and negotiating technical contract terms
- Experience working in multi-location organizations (healthcare, veterinary, retail, franchise, or hospitality) where customer data is distributed across hundreds or thousands of locations with independent data sources
- Experience with identity resolution at scale - designing and implementing matching algorithms, deduplication logic, and customer profile unification across disparate source systems with millions of records
Technical Skills:
- Marketing technology platforms: deep expertise with campaign management, marketing automation, and customer engagement platforms such as Salesforce Marketing Cloud, Adobe Campaign, Braze, Iterable, HubSpot, or comparable enterprise platforms
- CRM platforms: Salesforce Service Cloud, Sales Cloud, and/or Marketing Cloud - architecture design, integration, customization, and evaluation. Experience with CRM-to-CDP integration patterns
- Customer Data Platforms: hands-on architecture and implementation experience with at least one enterprise CDP (Treasure Data, Segment, Tealium, mParticle, Amperity, ActionIQ, or comparable) - data ingestion, identity resolution, audience activation, and real-time profile management
- Data integration: API design and implementation (REST, GraphQL, webhooks), ETL/ELT pipeline architecture, real-time streaming (Event Hub, Kafka, Kinesis), batch processing, and message bus patterns
- Cloud infrastructure: Azure ecosystem (Event Hub, Data Factory, Synapse, Functions, Logic Apps) or equivalent cloud platforms (AWS, GCP) with demonstrated ability to architect cross-service solutions
- Deployment channels: integration experience with multi-channel messaging platforms (Twilio, SendGrid, Mailchimp, or comparable) for email, SMS, voice, and push notification delivery at enterprise scale
- Consent and preference management: experience with consent management platforms (OneTrust, TrustArc, or comparable), privacy-by-design architecture, and regulatory compliance frameworks (CAN-SPAM, TCPA, CCPA, GDPR)
- Data modeling: entity-relationship design for customer, product, interaction, and consent data in marketing and healthcare contexts. Experience with canonical data models and enterprise taxonomy alignment
- Business intelligence: Power BI, Tableau, or Looker - understanding of how analytics layers, data marts, and semantic models connect to data warehouses and serve self-service reporting
- Email deliverability: IP warm-up planning, inbox placement optimization, sender reputation management, authentication protocols (SPF, DKIM, DMARC), and mailbox provider relationship management
- Security and compliance: understanding of data security architecture in marketing contexts - encryption, access controls, PII handling, data residency, and audit logging