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IL

Senior Tester

ICONMA, LLC
  • 🇺🇸 United States
  • On-site
  • Senior
  • 14 hours ago
  • Data Modeling
  • Change Management
  • CI/CD
  • triage
  • Excel
  • Java
  • Python
  • AI/ML
  • SQL
  • Agile
  • Visio
  • PowerPoint
  • Data Architecture
  • SAP
  • Collibra
  • Alation
  • Informatica
  • Microsoft Purview
  • GitHub
  • GitLab
  • Azure DevOps
  • Jenkins
  • Snowflake
  • Databricks
  • Oracle
  • PostgreSQL
  • Test Automation
  • Cucumber
  • JSON
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Our client, a Real Estate and Financial Services company, is looking for a Senior Tester for their McLean, VA location.
 
Responsibilities:

  • Process & Technology Review - Assess end-to-end data modeling lifecycle processes (intake, design, review/approval, governance, versioning, publication, change management, and release).
  • Evaluate tooling and integrations (data modeling tools, metadata/catalog, version control, CI/CD, ticketing/work management).
  • Identify gaps, risks, bottlenecks, and control weaknesses; document findings and prioritized recommendations.
  • Review alignment to enterprise standards (naming conventions, modeling patterns, domain boundaries, stewardship, metadata/lineage expectations).
  • Manual Testing Create and execute manual test plans and test cases for key workflows, including:
  • Model creation/updates (conceptual/logical/physical as applicable)
  • Standards validation (naming, datatypes, keys, relationships, referential integrity)
  • Model to -DDL generation and deployment readiness checks - Versioning/branching/merging and promotion processes - Metadata publishing and verification (catalog/glossary/lineage where applicable)
  • Security and role-based access controls within tools
  • Document test evidence, defects, and remediation recommendations; support triage and retesting.
  • Test Strategy & Automation Roadmap
  • Define a fit-for-purpose testing strategy for data modeling transformation outcomes (quality, governance, velocity, auditability).
  • Identify automation candidates and define what should be automated vs. remain manual.
  • Recommend an automation approach and integration points, potentially including:
  • Automated standards checks (rule-based validation / linting)
  • Model diffing and regression checks across versions
  • CI/CD quality gates for model changes (PR checks, approvals, artifact packaging)
  • Automated verification of model-to-implementation consistency (where feasible)
  • Automated metadata publishing completeness checks
  • Deliver a phased roadmap with dependencies, effort estimates, and measurable success criteria; optionally deliver a proof of concept if in scope.
  • The contractor will perform an independent review of the current  process and technology ecosystem supporting data modeling, execute structured manual testing of critical workflows, and develop a practical, phased plan to automate testing and  quality gates.
  • This role will partner with data modelers, data engineers, platform teams, and data governance stakeholders to improve quality, consistency, and release readiness
  • of data modeling artifacts and related metadata.
  • Can understand business requirements
  • Write and execute test cases manually or using automation
  • Analyze results of tests, defects tracking and management, report status and recommendations for modifications to test plan and/or schedule.
 
Requirements:
  • Must have experience setting up testing and automation.
  • Heavy experience with data modeling and a strong understanding of logical data  modeling.
  • Advanced Excel skills using complex worksheets.
  • Hands on development  with Java or Python, automation testing, AI/ML fluency, and SQL.
  • Industry knowledge and data used in the mortgage industry.
  • Client is seeking an experienced contractor to support an enterprise data modeling transformation initiative.
  • Familiar with agile methodology
  • Experience with: All phases of testing-system testing, SIT and UAT -Hewlett Packard’s ALM (Quality Center) version 11.0 testing tools -Microsoft Visio -Microsoft Office (Word, Excel, PowerPoint) -SQL
  • Required Qualifications:
  • 7+ years of experience in data engineering, data architecture, data modeling, QA, or related roles with a strong testing focus.
  • Demonstrated experience testing data/metadata/modeling workflows (beyond  application UI testing).
  • Strong knowledge of data modeling concepts: entities/relationships, keys, normalization, dimensional vs. relational patterns, naming/standards.
  • Proven ability to develop test plans, write test cases, and execute structured manual testing with clear documentation.
  • Strong analytical and communication skills; able to produce actionable assessment and roadmap deliverables.
  • Experience with enterprise data modeling tools (e.g., ER/Studio, ERwin, SAP PowerDesigner, Sparx EA, or similar).
  • Familiarity with metadata/catalog/governance platforms (e.g., Collibra, Alation, Informatica, Microsoft Purview).
  • Experience with CI/CD and automation tooling (e.g., GitHub/GitLab, Azure DevOps, Jenkins) and scripting (Python preferred).
  • Experience implementing automated quality checks (rules engines, schema validation, model diffing).
  • Familiarity with common enterprise data platforms (e.g., Snowflake, Databricks, SQL Server, Oracle, PostgreSQL) and DDL deployment patterns.
  • Process analysis and continuous improvement
  • Manual testing discipline and defect management
  • Test strategy development and automation planning
  • Data governance and standards enforcement
  • Stakeholder management across architecture, engineering, governance, and delivery teams
  • Current-state process and technology assessment with prioritized recommendations.
  • Manual test plan, test cases, execution results, and defect log.
  • Future-state testing strategy and test automation roadmap (phased).
  • Recommended KPIs/controls (e.g., standards compliance rate, defect leakage, cycle time, automation coverage).
  • Optional: proof-of-concept automation scripts/pipeline examples (if agreed in scope).
  • 8+ years of Automation Testing experience.
  • Data Modeler / Data Modeling experience is required.
  • Experience testing data, metadata, and data modeling workflows.
  • Hands-on automation framework development using Java and/or Python.
  • Experience with Cucumber framework.
  • Strong SQL and JSON validation skills.
  • Experience testing applications used for building and managing data models.
  • Database experience with Snowflake and PostgreSQL.
  • Data Modeling tools exposure (e.g., ER Studio, Erwin, Visio, etc.).
  • Mortgage domain experience.
  • AI/ML exposure.
 
Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities

Senior Tester · ICONMA, LLC

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