Senior Data Migration Engineer

Senior Data Migration Engineer with DBA Experience

Senior Data Migration Engineer and technical lead specializing in enterprise data modernization using Python, dbt, Airflow, Oracle, and SQL. Combines data engineering with hands-on Oracle DBA expertise, including PL/SQL development, database object administration, performance tuning, database links, and production troubleshooting. Leads technical delivery across design, development, testing, release, and production support while coordinating with developers, QA teams, DBAs, and client stakeholders.

Promotes engineering quality through reusable design patterns, Git and CI/CD practices, peer reviews, mentoring, automation, and operational documentation.

• Architect and design solutions for complex data engineering problems, from technical design through build and delivery.
• Develop, deploy, and support dbt workflows across development, QA, and production environments.
• Design and develop reusable Oracle PL/SQL packages, along with schemas, synonyms, database links, grants, and scheduler jobs.
• Develop Airflow DAGs and manage workflow scheduling, deployment, and monitoring in Airflow and Control-M.
• Manage Git branching, merges, code promotion, and CI/CD release deployments.
• Troubleshoot workflow, database, and application failures; drive issues to root cause with DBAs and developers.
• Analyze Oracle performance using wait events, session/lock monitoring, and SQL tuning.
• Baseline database users and ensure environment readiness for development, testing, and releases.
• Mentor and guide developers — onshore and offshore — on design standards, code reviews, and troubleshooting.
• Act as technical point of contact for developers, QA, DBAs, and client stakeholders, and maintain documentation, runbooks, and automation scripts.
• Perform peer code reviews and provide constructive technical feedback to fellow engineers.
• Contribute to technical documentation, runbooks, and handover materials.

• 5+ years of experience with solutioning complex data engineering problems, from technical design through build and delivery.
• 5+ years of Python experience, including production use of parallelism and batch data processing.
• 5+ years of SQL experience - complex joins, window functions, aggregations across large datasets.
• 3+ years of hands-on dbt Core experience - model layering, macros, tests, incremental materializations.
• 1+ years of Airflow experience - DAG authoring, task dependencies, and incorporation with scheduling tool.
• 1+ years of Oracle DBA Experience - Experience creating schema, synonyms, db links, and backup/restore. Deep understanding of performance tuning when running queries across db links.
• Preferred familiarity with Informatica Power Center concepts such as mappings, sessions, workflows, and parameterization.

NTT DATA provides a reasonable range of compensation for U.S.

-based positions. The starting pay range for this role is $,000. 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.

• medical, dental, and vision insurance with an employer contribution
• flexible spending or health savings account
• life and AD&D insurance
• short…