C2C role :: Marketing Technology Data Architect :: Atlanta, GA

Job Role : Marketing Data Architect

Location: Atlanta, GA
Experience Level: Lead / Architect (7+ years)

Role Summary

The Marketing Technology Data Architect is responsible for defining the data architecture strategy that powers marketing analytics, customer intelligence, and personalization at scale. This role provides end-to-end ownership of the MarTech data ecosystem, ensuring seamless integration, scalability, governance, and alignment with enterprise data platforms.

The architect partners with marketing, engineering, analytics, and enterprise architecture teams to design robust, future-ready data solutions across platforms such as CDPs, CRM systems, and marketing activation tools.

Key Responsibilities

Data Architecture & Strategy

Define and own the end-to-end data architecture for the marketing technology ecosystem
Establish architectural standards for modeling, storage, integration, and consumption of marketing data
Design scalable, modular architectures supporting customer 360, omnichannel engagement, and real-time personalization
Evaluate and recommend tools, platforms, and technologies aligned with business and enterprise strategy
Data Modeling Leadership

Provide guidance and governance on conceptual, logical, and physical data modeling practices
Oversee the design of enterprise-level customer data models (identity resolution, segmentation, attribution)
Ensure consistency and reusability of data models across domains and platforms
Mentor data modelers and engineers on best practices
MarTech Ecosystem Architecture

Architect integrations across platforms such as Snowflake, Adobe Experience Cloud, Salesforce, CDPs, and downstream activation systems
Define canonical data models, data contracts, and integration patterns across systems
Design batch and real-time data pipelines (including event-driven architectures)
Ensure interoperability between marketing, enterprise data, and digital platforms
Data Governance, Privacy & Compliance

Establish data governance frameworks for marketing data, including metadata, lineage, and stewardship
Ensure compliance with privacy regulations (GDPR, CCPA) and consent management practices
Define policies for data quality, security, and lifecycle management
Partner with security and governance teams to operationalize standards
Analytics & Activation Enablement

Design data architecture supporting advanced analytics, AI/ML, and personalization use cases
Enable unified access layers (semantic models, data marts) for analytics and BI tools
Ensure data readiness for segmentation, attribution modeling, and campaign optimization
Support real-time and near-real-time activation use cases
Stakeholder & Leadership Collaboration

Partner with marketing, product, engineering, and enterprise architecture leadership to align technology strategy
Translate business vision into scalable and sustainable data architecture
Lead architecture reviews, design governance forums, and decision-making processes
Influence roadmap planning and investment priorities
Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
7+ years of experience in data architecture, data engineering, or large-scale data platform design
Deep expertise in:
Data architecture patterns (lakehouse, data warehouse)
Data modeling methodologies (dimensional, Data Vault, domain-driven design)
Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
Strong experience designing MarTech ecosystems (Adobe, Salesforce, CDPs, etc.)
Expertise in designing large-scale data integration and pipeline architectures
Strong understanding of marketing data concepts (customer identity, attribution, segmentation, personalization)
Preferred Qualifications

Architecture experience with Customer Data Platforms (CDPs)
Knowledge of real-time and streaming architectures (Kafka, event-driven systems)
Experience with orchestration and transformation tools (Airflow, dbt, Matillion, etc.)
Familiarity with API-first integration patterns and microservices-based architectures
Experience with data privacy, consent, and identity resolution frameworks
Cloud certifications (AWS, Azure, GCP) or enterprise architecture certifications (e.g., TOGAF)
Key Skills

Enterprise data architecture and system design
MarTech ecosystem expertise
Strategic thinking and technology leadership
Data governance and compliance
Cross-functional collaboration and executive communication