Senior Data Architect

IT - Technology Architect | Data Management - Data Integration | Talend

Job Title: Senior Data Architect

Work Location: Atlanta, GA 30339

Contract duration: 6 months

Target Start Date: 07 Jul 2026

Does this position require Visa independent candidates only? YES

Hybrid work set-up

Must Have Skills:

• Data Architect ETL using Snowflake or Talend

Nice to have skills:

• Data Architect ETL using Snowflake or Talend

Detailed Job Description:

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 (lake house, 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