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.
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.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.