Primary Data Architect - Onsite Hybrid

NTT DATA•Atlanta, GA

4d•Hybrid

About The Position

We are seeking a highly experienced Primary Architect – Data Platform to lead the design and implementation of modern, secure, scalable enterprise data ecosystems. The ideal candidate will have deep expertise in Medallion Architecture (Bronze, Silver, Gold layers), Cloud platforms & Cloud Security, Data Vault modeling, enterprise data exposure strategies, and advanced data modeling practices. This role will serve as the architectural authority across data initiatives, partnering with business stakeholders, engineering teams, governance bodies, and leadership to drive data strategy and platform excellence.

Requirements

Core technical skills with min 12 + years of experience in:
Deep expertise in Medallion Architecture (Bronze, Silver, Gold layers).
Proven experience implementing Data Vault modeling in enterprise environments.
Strong understanding of enterprise data exposure strategies.
Advanced knowledge of data modeling (conceptual, logical, physical).
Strong experience in Cloud platforms (AWS/Azure/GCP).
Hands-on expertise in Cloud Security architecture for data platforms.
Data Platform & Engineering with 12+ years of experience in:
Experience with Lakehouse architectures (e.g., Databricks, Snowflake, BigQuery, Redshift).
Strong SQL and distributed data processing knowledge.
Experience designing batch & streaming architectures.
Familiarity with data orchestration tools.

Nice To Haves

Security & Governance
Data masking
Tokenization Encryption standards
IAM best practices
Experience implementing governance frameworks and compliance standards.
Experience with Lakehouse architectures (e.g., Databricks, Snowflake, BigQuery, Redshift).
Strong SQL and distributed data processing knowledge.
Experience designing batch & streaming architectures.
Familiarity with data orchestration tools.
Certifications (preferred but not mandatory):
Cloud Architect (AWS/Azure/GCP)
Data Vault 2.0 Certification
TOGAF or equivalent
Experience in regulated industries is a plus.

Responsibilities

Data Architecture Leadership
Define and implement enterprise-grade Medallion Architecture (Bronze, Silver, Gold layers) for scalable and governed data platforms.
Architect high-performance data pipelines and lakehouse environments.
Establish architectural standards, reusable frameworks, and best practices.
Cloud Architecture & Security
Design and implement secure data solutions on cloud platforms (AWS/Azure/GCP).
Ensure compliance with enterprise security, governance, and regulatory requirements.
Define and enforce:
Role-based access control (RBAC)
Data encryption (at rest & in transit)
Zero-trust principles
Secure data sharing mechanisms
Collaborate with InfoSec teams on cloud security posture management.
Data Vault & Data Modeling
Lead implementation of Data Vault 2.0 methodology (Hubs, Links, Satellites).
Translate business requirements into scalable logical and physical data models.
Design optimized dimensional models for reporting (star/snowflake schemas).
Establish modeling standards and review processes.
Data Exposure & Data Consumption Strategy
Architect scalable and governed data exposure mechanisms:
APIs
Data sharing frameworks
Semantic layersBI integrations
Define strategies for:
Data democratization
Controlled access
Metadata management
Data lineage and observability
Ensure performance optimization and SLA adherence for downstream consumers.
Governance & Quality
Embed data governance principles into architectural design.
Implement data quality frameworks and monitoring mechanisms.
Define metadata management and catalog strategies.
Stakeholder & Vendor Collaboration
Engage with business leaders to align architecture with enterprise strategy.
Mentor engineering teams and provide architectural oversight.
Work with vendors and system integrators to ensure design compliance