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Data Architect (Data Scientist)

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NTT DATA

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Location:
India , Gurugram

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Architect role at NTT DATA requires a hands-on professional with 8-12 years of IT experience, focusing on AWS data platforms and financial data modeling. The candidate will design scalable data architectures, manage data models, and collaborate with stakeholders. Strong programming skills in Python, SQL, and experience with AWS services are essential.

Job Responsibility:

  • Design, implement, and maintain end-to-end data architectures on AWS, supporting analytical, reporting, and modeling workloads
  • Define and manage data models, schemas, and transformations for structured and semi-structured financial data
  • Architect and optimize data ingestion, integration, and processing pipelines using AWS Glue, S3, Athena, and Snowflake
  • Enable analytics and modeling use cases (segmentation, classification, time-series analysis) through well-curated, high-quality datasets
  • Collaborate with data scientists, analysts, and business stakeholders to ensure data platforms align with mortgage and financial domain requirements
  • Implement data governance, version control, and CI/CD best practices, ensuring reliability and auditability in a corporate environment
  • Ensure data solutions are scalable, secure, and cost-efficient, following AWS best practices
  • Support data consumption via visualization and downstream applications, including integration with Amazon QuickSight and web-based interfaces where required

Requirements:

  • 8–12 years of overall IT experience
  • 5–8 years of relevant experience in Data Architecture or Senior Data Engineering roles within AWS environments
  • 4+ years of hands-on experience with AWS data services
  • Proven experience designing and operating data architectures using Amazon S3, AWS Glue, Athena, Amazon SageMaker Studio, Snowflake
  • Strong programming skills in Python, PySpark, and SQL
  • Experience integrating and transforming data from multiple data lakes and data warehouses
  • Solid understanding of financial data modelling, preferably within mortgage or lending use cases
  • Familiarity with segmentation, classification, and time-series data structures
  • Proven experience with code management and version control in enterprise environments (GitLab)
  • Ability to translate complex financial data into actionable, well-structured datasets for analytics and reporting

Nice to have:

  • Experience with Amazon QuickSight for data visualization and reporting
  • Exposure to React and JavaScript for data-driven application integration
  • Experience working in regulated financial services environments

Additional Information:

Job Posted:
February 05, 2026

Work Type:
On-site work
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