Data Architect (MarTech) _US

Job Description: Data Architect (MarTech Focus) 

Position Overview 

We are seeking a Senior Data Architect to lead the data strategy and architecture discovery for a large-scale MarTech transformation. 
This role will design the customer data foundation, ensure seamless integration across marketing platforms, and enable advanced personalization and analytics. 
The ideal candidate brings deep expertise in customer 360, CDP activation, data governance, and real-time marketing use cases across platforms such as Snowflake, ActionIQ, Adobe Experience Cloud, Salesforce Marketing Cloud, and Medallia. 

 

Key Responsibilities 

Data Architecture & Strategy 

Lead current-state data assessment and define the future-state enterprise data architecture for marketing and engagement data. 

Develop data models and schemas for Customer 360, Golden Record, identity resolution, and consent management. 

Establish enterprise data governance frameworks, metadata standards, and data quality rules to support marketing and personalization. 

Recommend best practices for data privacy (GDPR, CCPA) and PII handling across multiple systems. 

Data Platform Design 

Architect the Snowflake-based marketing data lake optimizing for scalability, performance, and cost. 

Define data ingestion, transformation, and enrichment patterns across batch, near-real-time, and streaming use cases (e.g., Kafka, Pub/Sub, Kinesis). 

Create reference architectures for ActionIQ CDP enablement, supporting audience segmentation, activation, and Next Best Action scenarios. 

Integration & Activation 

Partner with the Integration Architect to design data flows between: 

Adobe AEM/Target for personalization, 

Salesforce Marketing Cloud for messaging and automation, 

Medallia and Sprinklr for VoC/social listening, 

Google Analytics for behavioral analytics, 

Future Loyalty Platform for rewards and engagement. 

Define APIs and data contracts to support cross-platform activation and analytics. 

Analytics & BI 

Provide the data architecture for Domo dashboards and reporting, enabling unified KPIs across campaigns, promotions, and media spend. 

Support transition to Sigma for self-service BI and advanced analytics. 

 

Required Skills & Experience 

8+ years of experience in data architecture, data engineering, or enterprise architecture. 

Proven expertise in Snowflake or other cloud-native data platforms (BigQuery, Redshift, Databricks). 

Strong background in data modeling, MDM (Informatica, Reltio, or similar), and identity resolution. 

Hands-on experience integrating with CDPs (ActionIQ, Adobe RT-CDP, Segment, mParticle) and MarTech platforms (Adobe, Salesforce Marketing Cloud). 

Advanced skills in SQL, ETL/ELT pipelines, data APIs, and streaming technologies (Kafka, Kinesis, Pub/Sub). 

Experience designing and deploying data solutions on cloud platforms (preferably Google Cloud Platform / GCP), including services for data storage, processing, and analytics. 

Experience with Cognity AI app. 

Solid understanding of data privacy regulations and consent/opt-in management.