This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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