Databricks Architect

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. About the Role We are seeking a highly skilled Databricks Architect to join our team. The ideal candidate will have a strong background in data architecture and engineering, with specific experience in Databricks, Informatica, and AWS services such as Glue and Lambda. This role involves designing and implementing scalable, secure, and high-performance data solutions that meet the needs of our clients. Key Responsibilities 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. Basic Qualifications 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. Preferred Skills 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. About NTT DATA 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 atus.nttdata.com NTT DATA endeavors to make 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 . 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'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Job Segment: Cloud, Developer, Database, SQL, Consulting, Technology #J-18808-Ljbffr