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NTT DATA Logo NTT DATA · IT - Software Development

Databricks Architect

United States, Plano · Job Posted February 16, 2026
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Job Description

The Databricks Architect role at NTT DATA requires a seasoned professional with over 8 years of experience in data architecture and engineering. The ideal candidate will have expertise in Databricks, Informatica, and AWS services. Responsibilities include designing scalable data solutions, leading technical engagements, and optimizing performance. Preferred qualifications include certifications in Databricks. This position offers an opportunity to work with a global leader in technology services.

Job Responsibility

  • Solution Design & Implementation: Architect and implement scalable, secure, and high-performance data solutions on the Databricks platform. Design end-to-end data pipelines, ensuring seamless integration with Databricks and AWS services
  • Data Integration: Utilize Informatica for ETL processes, ensuring efficient data integration and transformation across various data sources
  • AWS Expertise: Leverage AWS services such as Glue for data cataloging and ETL, and Lambda for serverless computing to enhance data processing capabilities
  • Technical Leadership: Lead technical engagements, collaborating with internal teams and client stakeholders. Guide data engineers, analysts, and developers in implementing best practices on Databricks
  • Optimization & Performance: Optimize Databricks solutions for cost efficiency, performance, and reliability. Implement advanced performance tuning and debugging techniques
  • Governance & Compliance: Establish and enforce governance, security, and compliance standards within Databricks environments

Requirements

  • 8+ years of experience in data architecture, engineering, or analytics roles
  • 5+ years of experience with modern data architecture principles, including cloud platforms (AWS, Azure, GCP)
  • 3+ years of recent hands-on experience with Databricks
  • Proficiency in SQL, Python, and ETL tools such as Informatica

Nice to have

  • Expert knowledge of Databricks architecture, including data sharing, performance optimization, and data security
  • Hands-on experience with data modeling, schema design, and ELT pipeline development
  • Understanding of cloud-native services for data ingestion, transformation, and orchestration
  • Certifications in Databricks such as Databricks Certified Professional Data Engineer
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