Data Engineering & Pipeline Development

• Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
• Develop data integration workflows to support enterprise analytics
• Implement scalable data processing frameworks and automation pipelines
• Monitor pipeline execution and ensure data availability and reliability

Data Modeling & Design

• Design logical and physical data models to support business requirements
• Define data structures, relationships, and schemas across domains
• Develop standardized data layers (e.g., Bronze/Silver/Gold)
• Collaborate with stakeholders on data mappings and business logic

Data Integration & Quality

• Perform source-to-target mapping and transformation design
• Implement data quality checks and validation rules
• Maintain data lineage, metadata, and documentation
• Support integration of enterprise data sources

Production Support & Optimization

• Provide L2/L3 support for data pipelines
• Monitor and optimize pipeline performance
• Perform root cause analysis and issue resolution
• Support job scheduling and error handling processes

Collaboration & Delivery

• Work with data architects, analysts, and BI teams
• Translate business requirements into technical solutions
• Support data platform modernization initiatives
• Participate in Agile processes such as sprint planning and code reviews

• 6+ years of experience in Data Engineering and/or Data Modeling
• 6+ years of experience building and maintaining enterprise data pipelines
• 6+ years of experience working with large, complex datasets

Technical Skills

• Strong SQL and data modeling expertise
• Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)
• Experience with Python, Spark, or similar frameworks
• Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake
• Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications

• Experience with Azure-based data platforms
• Exposure to data governance and metadata management tools
• Experience in healthcare or regulated environments
• Experience supporting data modernization initiatives

Key Success Metrics

• Reliable and timely pipeline execution
• High-quality data models supporting analytics
• Improved data quality and reduced errors

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $121,162 - $224,375 per year. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

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NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.