Marketing Technology Data Architect

Myself Syed Fazul and I'm currently looking for Marketing Technology Data Architect. If you are looking for job please go through the below job description., 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., 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, * 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, * 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, * 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, * 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, * 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

• 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), * 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, Google Cloud Platform) or enterprise architecture certifications (e.g., TOGAF), * Enterprise data architecture and system design
• MarTech ecosystem expertise
• Strategic thinking and technology leadership
• Data governance and compliance
• Cross-functional collaboration and executive communication