TELECOMMUTE Data Architect

Landmarkit Llc

United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) .NET Framework Amazon Web Services Amazon S3 Static Program Analysis Continuous Integration Information Engineering Extract Transform Load (ETL) Database Schema Github Identity and Access Management Python (Programming Language)

+6 more

Microsoft SQL Server Search Technologies SQL Stored Procedures Delivery Pipeline Large Language Models AngularJS

Job description

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, Define table-level resolutions (re-keying, offset mapping, surrogate keys, RLS-scoped acceptance) with end-to-end traceability through SPs, apps, and ETL.

Requirements

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, 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.