Databricks Architect (Onsite Hybrid)

We are seeking a highly experienced Databricks Architect / Primary Architect - Databricks Lakehouse & Data Governance 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.
• 5+ years of deep expertise in Medallion Architecture (Bronze, Silver, Gold), Delta Lake, distributed data processing, Spark/PySpark, SQL, batch processing, and streaming architecture.
• 5+ years of 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.

Preferred Skills:

• 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: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience.

Nice to Have (But Not a Must)

• 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.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $117,600 - $196,000 per annum. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

NTT 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’s 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&D.