Data Architect - Marketing Platform tools Experience

  • Dallas, TX
  • Posted 3 days ago | Updated 14 hours ago

Overview

On Site
Depends on Experience
Full Time
100% Travel

Skills

Adobe
Data Modeling
Master Data Management
Salesforce.com
Google Cloud Platform
Adobe Marketing Cloud

Job Details

Hi Job Seekers,

We hope you are doing well. We are hiring for the role of Data Architect - MarTech.

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 6000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check

Role: Data Architect - MarTech

Location: Dallas, TX/Chicago, IL/New York, NY/Springfield, MO
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 / Google Cloud Platform), including services for data storage, processing, and analytics.
  • Experience with Cognity AI app.
  • Solid understanding of data privacy regulations and consent/opt-in management.
Preferred Qualifications
  • Certifications in Snowflake, AWS/Google Cloud Platform/Azure data services, or ActionIQ CDP.
  • Experience with tag management data layers (GTM, Adobe Launch) and web/mobile analytics instrumentation.
  • Prior consulting or digital agency experience in MarTech or enterprise marketing data transformations.
Soft Skills
  • Ability to translate marketing requirements into scalable data solutions and communicate effectively with both technical and non-technical stakeholders.
  • Strong leadership in discovery phases, with experience creating architecture blueprints, roadmaps, and migration strategies.
  • Balance of strategic vision and hands-on technical expertise.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.