Data Architect(MARTECH)

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.

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
• Arcitect 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
• Enable 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