Primary Data Architect - Onsite Hybrid

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.\n\nWe are currently seeking a Primary Data Architect - Onsite Hybrid to join our team in Atlanta, Georgia (US-GA), United States (US).\n\nWe are seeking a highly experienced Primary Architect \u2013 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 \u0026 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.\n\nJob Responsibilities Include:\n\n1\\. Data Architecture Leadership\n\n * Define and implement enterprise-grade Medallion Architecture (Bronze, Silver, Gold layers) for scalable and governed data platforms.\n * Architect high-performance data pipelines and lakehouse environments.\n * Establish architectural standards, reusable frameworks, and best practices.\n\n\n\n2\\. Cloud Architecture \u0026 Security\n\n * Design and implement secure data solutions on cloud platforms (AWS/Azure/GCP).\n * Ensure compliance with enterprise security, governance, and regulatory requirements.\n * Define and enforce:\n * Role-based access control (RBAC)\n * Data encryption (at rest \u0026 in transit)\n * Zero-trust principles\n * Secure data sharing mechanisms\n * Collaborate with InfoSec teams on cloud security posture management. \n\n\n\n3\\. Data Vault \u0026 Data Modeling\n\n * Lead implementation of Data Vault 2.0 methodology (Hubs, Links, Satellites).\n * Translate business requirements into scalable logical and physical data models.\n * Design optimized dimensional models for reporting (star/snowflake schemas).\n * Establish modeling standards and review processes.\n\n\n\n4\\. Data Exposure \u0026 Data Consumption Strategy\n\nArchitect scalable and governed data exposure mechanisms:\n\n * APIs\n * Data sharing frameworks\n * Semantic layersBI integrations\n * Define strategies for:\n * Data democratization\n * Controlled access\n * Metadata management\n * Data lineage and observability\n * Ensure performance optimization and SLA adherence for downstream consumers.\n\n\n\n5\\. Governance \u0026 Quality\n\n * Embed data governance principles into architectural design.\n * Implement data quality frameworks and monitoring mechanisms.\n * Define metadata management and catalog strategies.\n\n\n\n6\\. Stakeholder \u0026 Vendor Collaboration\n\n * Engage with business leaders to align architecture with enterprise strategy.\n * Mentor engineering teams and provide architectural oversight.\n * Work with vendors and system integrators to ensure design compliance\n\n\n\nBasic Qualifications:\n\nCore technical skills with min 12 + years of experience in:\n\n * Deep expertise in Medallion Architecture (Bronze, Silver, Gold layers).\n * Proven experience implementing Data Vault modeling in enterprise environments.\n * Strong understanding of enterprise data exposure strategies.\n * Advanced knowledge of data modeling (conceptual, logical, physical).\n * Strong experience in Cloud platforms (AWS/Azure/GCP).\n * Hands-on expertise in Cloud Security architecture for data platforms.\n\n\n\nData Platform \u0026 Engineering with 12+ years of experience in:\n\n * Experience with Lakehouse architectures (e.g., Databricks, Snowflake, BigQuery, Redshift).\n * Strong SQL and distributed data processing knowledge.\n * Experience designing batch \u0026 streaming architectures.\n * Familiarity with data orchestration tools.\n\n\n\nPreferred Skills:\n\nSecurity \u0026 Governance \n\n * Data masking\n * Tokenization Encryption standards\n * IAM best practices\n * Experience implementing governance frameworks and compliance standards.\n\n\n * Experience with Lakehouse architectures (e.g., Databricks, Snowflake, BigQuery, Redshift).\n * Strong SQL and distributed data processing knowledge.\n * Experience designing batch \u0026 streaming architectures.\n * Familiarity with data orchestration tools.\n\n\n\nCertifications (preferred but not mandatory):\n\n * Cloud Architect (AWS/Azure/GCP)\n * Data Vault 2.0 Certification\n * TOGAF or equivalent\n * Experience in regulated industries is a plus.\n\n\n\n#INDFSINS\n\n#L1-NorthAmerica\n\nAbout NTT DATA\n\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world\u0027s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\u0026D.\n\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client\u2019s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\n\nNTT DATA endeavors to make https://us.nttdata.com 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 https://us.nttdata.com/en/contact-us. 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 our EEO Policy Statement, please click here. If you\u0027d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.\n