Primary Data Architect - Onsite Hybrid

Primary Data Architect – Onsite Hybrid (Primary Architect – Data Platform) – Atlanta, Georgia (US) Job Responsibilities 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. 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). Define and enforce data encryption (at rest & in transit). Define and enforce zero‑trust principles. Define and enforce secure data sharing mechanisms. Collaborate with InfoSec teams on cloud security posture management. 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. Architect scalable and governed data exposure mechanisms: APIs, data sharing frameworks, semantic layers, and BI integrations. Define strategies for controlled access, metadata management, data lineage, and observability. Ensure performance optimization and SLA adherence for downstream consumers. Implement data quality frameworks and monitoring mechanisms. Define metadata management and catalog strategies. 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. Basic Qualifications 12+ years of experience in enterprise data architecture. 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. Experience with Lakehouse architectures (Databricks, Snowflake, BigQuery, Redshift). Strong SQL and distributed data processing knowledge. Familiarity with data orchestration tools. Preferred Skills Data masking. Experience implementing governance frameworks and compliance standards. Experience with Lakehouse architectures (Databricks, Snowflake, BigQuery, Redshift). Strong SQL and distributed data processing knowledge. Familiarity with data orchestration tools. Certifications (Preferred) Data Vault 2.0 Certification. TOGAF or equivalent. Experience in regulated industries is a plus. NTT DATA endeavors to make us accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For Pay Transparency information, please click here. Nearest Major Market: Atlanta. Job Segment: Cloud, Developer, SQL, Database, Consulting, Technology. #J-18808-Ljbffr NTT DATA