Databricks Architect

Req ID: 388406

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. We are currently seeking a professional to join our team in Atlanta Georgia (US-GA) United States (US).

NTT DATAs Client is seeking a highly experienced professional to lead the architecture governance security and modernization of enterprise data platforms on Databricks. The role will serve as the architectural authority for Databricks initiatives from requirement intake and solution design through implementation and production support partnering with business stakeholders data owners governance bodies security application teams data engineering teams source-system SMEs vendors and leadership.

• Lead enterprise Databricks Lakehouse architecture using Medallion Architecture (Bronze Silver Gold) establishing scalable reusable secure and governed platform patterns.
• Define the target-state Databricks architecture across ingestion transformation storage orchestration analytics streaming data sharing and consumption layers.
• Design and govern Delta Lake / Delta-based data architectures including data layout performance optimization schema evolution data lifecycle and workload-management standards.
• Own the enterprise data-governance architecture on Databricks with strong focus on Unity Catalog for centralized cataloging access control data discovery lineage ownership and governed data sharing.
• Define data domains catalogs schemas ownership models classification standards business metadata technical metadata and stewardship patterns in partnership with enterprise data-governance teams.
• Establish fine-grained security and access-control patterns using RBAC/ABAC principles IAM integration least-privilege access row/column controls masking encryption secure sharing and auditability.
• Architect enterprise data-quality controls and observability including validation rules quality metrics reconciliation freshness/completeness monitoring lineage exception management and SLA/SLO reporting.
• Design high-performance batch and streaming pipelines using Databricks capabilities and distributed processing patterns; establish reusable frameworks engineering standards and orchestration practices.
• Provide architecture for governed data exposure through APIs Delta Sharing / secure data sharing semantic layers BI tools ML/AI consumers and downstream analytical applications.
• Translate business and governance requirements into conceptual logical and physical data models; define modeling standards for lakehouse dimensional and enterprise data structures.
• Serve as the first architecture point of contact for new projects and enhancements; lead discovery feasibility assessment architecture reviews requirements clarification and solution alignment.
• Partner with Information Security Risk Compliance Privacy and Data Governance teams to embed regulatory and enterprise controls into the Databricks platform and data-product lifecycle.
• Drive migration and modernization of legacy data platforms and workloads to Databricks including architecture assessment workload rationalization migration patterns performance tuning and cutover strategy.
• Support production issue analysis and triage during onshore hours helping resolve data-quality security performance pipeline and platform issues while minimizing business impact.
• Mentor data engineers and architects provide design oversight and architecture governance and work with vendors/system integrators to ensure implementation compliance.

• Minimum 10 years of experience in Data Architecture Data Engineering or enterprise data-platform delivery including architecture leadership for large-scale data ecosystems.
• Minimum 5 years of strong hands-on experience with Databricks and modern lakehouse architecture including production-scale implementation and optimization.
• Deep expertise in Medallion Architecture (Bronze Silver Gold) Delta Lake distributed data processing Spark/PySpark SQL batch processing and streaming architecture.
• Strong experience with Databricks Unity Catalog and enterprise data-governance capabilities including cataloging metadata management lineage data classification ownership access governance and audit controls.
• Minimum 5 years of data-governance experience covering data quality metadata lineage stewardship data ownership policy enforcement privacy security and compliance controls.
• Strong cloud architecture experience with AWS Azure and/or GCP including IAM networking encryption secrets storage security controls and integration with Databricks.
• Experience designing secure data-consumption patterns including APIs data sharing semantic layers BI integration and controlled self-service analytics.
• Strong knowledge of conceptual logical and physical data modeling; experience with dimensional modeling and enterprise data-modeling standards.
• Strong stakeholder-management skills with the ability to communicate architecture to business engineering governance security and executive audiences.
• Demonstrated ability to influence cross-functional teams lead architecture decisions and operate as a front-facing architect during core U.S. business hours.
• Ability to work onshore in Atlanta with a minimum of 3 days per week in the office.
• Travel: As required based on project and client needs; primary work location is Atlanta Georgia.
• Degree: Bachelors degree in Computer Science Information Systems Data Engineering or a related field or equivalent work experience.

• 12 years of experience in Data Architecture and/or Enterprise Data Engineering including large-scale cloud data transformation programs.
• Databricks Certified Data Engineer Professional and/or Databricks Certified Data Architect / relevant advanced Databricks certification.
• Experience implementing enterprise governance using Unity Catalog across multiple workspaces business domains and cloud environments.
• Experience with governance/catalog platforms such as Collibra Alation Microsoft Purview or equivalent and integration with Databricks governance patterns.
• Cloud Architect certification in AWS Azure and/or GCP.
• TOGAF or equivalent architecture certification.
• Experience in regulated industries such as banking financial services insurance healthcare or other highly controlled environments.

• Strong architectural thinking and end-to-end systems-design capability.
• Excellent stakeholder communication workshop facilitation and executive presentation skills.
• Strong governance mindset with the ability to balance data democratization security control and delivery speed.
• Strategic mindset with strong execution orientation and ability to convert standards into implementable engineering patterns.
• Ability to influence cross-functional teams and drive architecture and governance decisions.
• Mentorship and team-development experience.

• Establish a scalable secure high-performing Databricks Lakehouse architecture with standardized Bronze Silver and Gold patterns.
• Implement a robust Unity Catalog-based governance model covering ownership access cataloging classification lineage auditability and secure sharing.
• Drive adoption of standardized data-quality metadata lineage security privacy and compliance practices across data products.
• Establish governed and performant data-exposure frameworks for analytics BI AI/ML APIs and downstream consumers.
• Improve platform reuse engineering productivity workload performance data trust and time-to-delivery through architecture standards and reusable patterns.
• Enable effective collaboration with onshore stakeholders and rapid response to production data-quality security and operational issues.

• Opportunity to shape enterprise Databricks lakehouse and data-governance strategy.
• Work on modern cloud-native data platforms and large-scale transformation initiatives.
• Influence enterprise standards for data security governance quality lineage and democratization.
• High leadership visibility and strategic impact across business and technology teams.

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate optimize and transform for long term success. As a Global Top Employer we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting data and artificial intelligence industry solutions as well as the development implementation and management of applications infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at .

U.S. On Location / Hybrid NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $70/hr to $80/hr. Actual compensation will depend on a number of factors including the candidates relevant experience technical skills and other qualifications. This position is eligible for company benefits including participation in medical dental and vision insurance flexible spending or health savings account and AD&D insurance employee assistance participation in a 401k program and additional voluntary or legally-required benefits.

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