Job Title: Senior Data Disposition & Migration Intelligence Engineer

City: Newark

State/Province: New Jersey

Posting Start Date: 8/21/26

Job Description:

Job Description

Senior Data Disposition & Migration Intelligence Engineer

Key Skills Required

Must-have (prioritize candidates with depth in these areas):

Priority

Skills Critical - Amazon Bedrock - model selection, prompt design, Knowledge Bases, retrieval-augmented generation (RAG), guardrails, and production inference patterns

Critical - AWS platform - CI/CD (CodePipeline / GitHub Actions on AWS), Lambda, Step Functions, OpenSearch (vector search), Neptune or graph storage, Secrets Manager, S3 artifact pipelines, IAM, and cost/scale design

Required

SQL Server at scale - stored procedure dependency tracing, cross-database schema reconciliation, RLS / SESSION_CONTEXT

Dispositioning & triage - turning automated outputs (schema drift, source-only tables, static-analysis findings) into auditable, dependency-backed decisions

ID de-collision analysis - overlapping ID ranges, true collisions vs. co-mingled data, table-level resolution

ETL / batch consolidation - Informatica (or equivalent), migration script quality, tenant-scoped batch jobs

LLM output validation - guardian / evaluation patterns, golden-set regression, confidence thresholds

Code literacy (.NET, Java, Angular, Python); static analysis & SARIF; financial-services consolidation experience

Role Summary

Senior practitioner who combines deterministic data engineering with Bedrock-powered AI reasoning to accelerate a large-scale multi-tenant consolidation. You turn automated signals - schema drift, source-only tables, ID collisions, and static-analysis findings - into defensible disposition decisions grounded in dependency chains (stored procedures, application code, ETL, batch jobs). You also productionize the toolchain on AWS: RAG through CI/CD, knowledge capture, and a guardian pattern that validates every model output before it reaches reviewers or migration teams.

Qualifications

Required

8+ years in data engineering, platform migration, or enterprise modernization (financial services preferred).
Production experience with Amazon Bedrock and core AWS services (not exploratory POCs).
Large-scale SQL Server dependency analysis and schema reconciliation.
Hands-on ETL/batch consolidation (Informatica or equivalent).
CI/CD integration and LLM output validation in production workflows.

Preferred

Multi-tenant consolidation, tenant discriminators, feature entitlements.
Code graph / static analysis (Roslyn, OpenRewrite, CodeQL, custom analyzers).
Guardian patterns for LLM outputs; Python/PowerShell report pipeline automation.

Mandatory Skills: Data Analysis.

Experience: 5-8 Years.

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.