Remote role Senior Data Disposition & Migration Intelligence Architect

• Position: Senior Data Disposition & Migration Intelligence Architect
• Location: Remote
• Hire Type: Contract

We need Data Architect with hands on exp in AWS Bedrock, ETL, SQL, Informatica

• 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
• Required Dispositioning & triage — turning automated outputs (schema drift, source-only tables, static-analysis findings) into auditable, dependency-backed decisions
• Required ID de-collision analysis — overlapping ID ranges, true collisions vs. co-mingled data, table-level resolution
• Required ETL / batch consolidation — Informatica (or equivalent), migration script quality, tenant-scoped batch jobs
• Required LLM output validation — guardian / evaluation patterns, golden-set regression, confidence thresholds
• Required 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.

• Core Responsibilities
• 1. Dispositioning Reasoning
• · Adjudicate schema drift, source-only tables, and migration-priority findings using SP → app → ETL dependency evidence.
• · Apply deterministic rules where the answer is deterministic; invoke Bedrock RAG where genuine judgment is required.
• · Produce auditable dispositions with confidence levels and blast-radius assessment; feed validated decisions back into the knowledge base.
• 2. ID De-Collision Reasoning
• · Investigate overlapping ID ranges; distinguish true collisions, co-mingled data, and namespace overlap without semantic conflict.
• · Define table-level resolutions (re-keying, offset mapping, surrogate keys, RLS-scoped acceptance) with end-to-end traceability through SPs, apps, and ETL.
• 3. Data Migration & Batch Consolidation
• · Review migration script quality (idempotency, ordering, rollback, tenant scoping).
• · Consolidate Informatica / batch jobs for tenant-specific routing; align with comment-out vs. refactor vs. data-layer-only strategies.
• · Support cutover sequencing, reconciliation, and post-migration validation.
• 4. Productionizing the Toolchain on AWS
• · Integrate the Bedrock RAG disposition assistant into CI/CD (retrieval over dependency graphs, schema diffs, SME feedback, prior dispositions).
• · Implement a guardian / evaluation pattern: grounding checks, structured-output validation, confidence thresholds, escalation for high-blast-radius decisions, golden-set regression.
• · Operationalize SME knowledge capture, observability, and versioning for prompts, indexes, and disposition rules.
• 5. Toolchain Assessment
• · Outside-in review of the code-graph generator (resolution accuracy, build vs. leverage, polyglot coverage).
• · Recommend AWS scaling paths: Bedrock Knowledge Bases, OpenSearch vectors, Neptune, serverless batch, SARIF/report pipelines.
• · Deliver a prioritized roadmap with measurable coverage improvement (EAC and disposition throughput).

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.

• Engagement & Success Metrics
• Phase Focus
• Assess Toolchain review; disposition backlog; ID collision inventory
• Establish Disposition standards; Bedrock RAG + guardian pattern; CI/CD skeleton
• Execute Domain dispositioning; migration/batch review; ID resolution
• Operationalize Knowledge loops, metrics, program handoff
• Success: ≥90% SME acceptance on first review; guardian catches ≥95% of ungrounded model outputs; zero post-cutover ID collision defects in pilot domains; documented AWS toolchain roadmap with coverage targets.