Job Title: Senior Data Architect
Work Location : AtlantaGA30339
Vendor Rate: 74.10
Contract duration: 6
Target Start Date: 07 Jul 2026
Does this position require Visa independent candidates only? YES
**hybrid work set-up**
Job Details:
Must Have Skills
Data Architect
ETL using Snowflake or Talend
Ability to communicate effectively
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 (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
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Data Architect
ETL using Snowflake or Talend
Ability to communicate effectively with the clients and must drive the project from Onshore and meet the deadlines efficiently
Interview Process (Is face to face required?)
Yes
Any additional information you would like to share about the project specs/ nature of work
Project Code: Child code for Marketing Mysore with NSO