Marketing Technology (MarTech) Data Architect

• Title :Marketing Technology (MarTech) Data Architect
• Location : Atlanta, GA (Onsite)

Experience Level: Lead / Architect (8+ 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:
• o Data architecture patterns (lakehouse, data warehouse)
• o Data modeling methodologies (dimensional, Data Vault, domain-driven design)
• o 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