Data Architect

As a Data Architect (Data Scientist) at NTT DATA, your role will involve designing, building, and governing scalable, production-grade data architectures that support analytics, reporting, and advanced modeling use cases, particularly within mortgage and lending domains. Your key responsibilities will include: - Designing, implementing, and maintaining end-to-end data architectures on AWS, supporting analytical, reporting, and modeling workloads. - Defining and managing data models, schemas, and transformations for structured and semi-structured financial data. - Architecting and optimizing data ingestion, integration, and processing pipelines using AWS Glue, S3, Athena, and Snowflake. - Enabling analytics and modeling use cases through high-quality datasets. - Collaborating with data scientists, analysts, and business stakeholders to ensure alignment with mortgage and financial domain requirements. - Implementing data governance, version control, and CI/CD best practices. - Ensuring scalability, security, and cost-efficiency of data solutions following AWS best practices. - Supporting data consumption via visualization and downstream applications. Qualifications Required: - 812 years of overall IT experience with a focus on data platforms and analytics systems. - 58 years of relevant experience in Data Architecture or Senior Data Engineering roles within AWS environments. - Hands-on experience with AWS data services such as Amazon S3, AWS Glue, Athena, and Snowflake. - Strong programming skills in Python, PySpark, and SQL. - Experience in financial data modeling, preferably within mortgage or lending use cases. - Familiarity with data structures such as segmentation, classification, and time-series analysis. - Proven experience with code management and version control in enterprise environments. Nice to Have: - Experience with Amazon QuickSight for data visualization and reporting. - Exposure to React and JavaScript for data-driven application integration. - Experience in regulated financial services environments. NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. They are committed to accelerating client success and positively impacting society through responsible innovation. NTT DATA offers a robust ecosystem of innovation centers and is a part of NTT Group, investing over $3 billion annually in R&D. They are dedicated to staying flexible to meet the evolving needs of both clients and employees. As a Data Architect (Data Scientist) at NTT DATA, your role will involve designing, building, and governing scalable, production-grade data architectures that support analytics, reporting, and advanced modeling use cases, particularly within mortgage and lending domains. Your key responsibilities will include: - Designing, implementing, and maintaining end-to-end data architectures on AWS, supporting analytical, reporting, and modeling workloads. - Defining and managing data models, schemas, and transformations for structured and semi-structured financial data. - Architecting and optimizing data ingestion, integration, and processing pipelines using AWS Glue, S3, Athena, and Snowflake. - Enabling analytics and modeling use cases through high-quality datasets. - Collaborating with data scientists, analysts, and business stakeholders to ensure alignment with mortgage and financial domain requirements. - Implementing data governance, version control, and CI/CD best practices. - Ensuring scalability, security, and cost-efficiency of data solutions following AWS best practices. - Supporting data consumption via visualization and downstream applications. Qualifications Required: - 812 years of overall IT experience with a focus on data platforms and analytics systems. - 58 years of relevant experience in Data Architecture or Senior Data Engineering roles within AWS environments. - Hands-on experience with AWS data services such as Amazon S3, AWS Glue, Athena, and Snowflake. - Strong programming skills in Python, PySpark, and SQL. - Experience in financial data modeling, preferably within mortgage or lending use cases. - Familiarity with data structures such as segmentation, classification, and time-series analysis. - Proven experience with code management and version control in enterprise environments. Nice to Have: - Experience with Amazon QuickSight for data visualization and reporting. - Exposure to React and JavaScript for data-driven application integration. - Experience in regulated financial services environments. NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. They are committed to accelerating client success and positively impacting society through responsible innovation. NTT DATA offers a robust ecosystem of innovation centers and is a part of NTT Group, investing over $3 billion annually in R&D. They are dedicated to staying flexible to meet the evolving needs of both clients and emplo