Enterprise QA Architect

Location: Bengaluru

Position Title:

Enterprise QA Architect (Data / AI / Apps)

Location:

Remote
Duration: 3 Months contract
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Position Overview
Our client is building an enterprise-scale AI Health Cloud ecosystem on Microsoft Azure and Databricks platforms. The initiative includes multiple Data and AI-driven software products that require a robust, scalable, secure, and automation-first Enterprise Testing Strategy.
We are seeking an experienced and hands-on Enterprise QA Architect who will take end-to-end ownership of defining, enhancing, governing, and implementing the Enterprise Testing Strategy across all client products and work streams.
The ideal candidate will possess strong expertise in enterprise quality engineering, test automation, performance engineering, API testing, security testing, data validation, cloud-native platforms, and healthcare-compliant software delivery practices. This role requires both strategic leadership and hands-on technical execution capabilities.
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Key Responsibilities
Enterprise QA Strategy & Architecture

• Own and drive the End-to-End Enterprise Testing Strategy across all products.

• Define enterprise-wide QA standards, frameworks, governance models, and testing best practices.

• Establish scalable Quality Engineering processes aligned with Agile, Dev Ops, and CI/CD methodologies.

• Design enterprise testing architecture covering:
o Functional Testing
o Non-Functional Testing
o Security Testing
o Data Validation Testing
o API Testing
o Integration Testing
o Performance Engineering
o Regression Testing
o User Acceptance Testing
o AI Testing
o DR Testing

• Define quality gates, release readiness criteria, and test governance processes.

• Establish enterprise-wide test metrics, KPIs, dashboards, and reporting mechanisms.
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Test Automation Leadership

• Lead the implementation of an Automation-First Testing Strategy targeting high automation coverage across products.

• Architect scalable automation frameworks for:
o UI Automation
o API Automation
o Data Validation & Reconciliation
o Regression Testing
o Integration Testing

• Standardize reusable automation components, libraries, accelerators, and utilities.

• Drive shift-left testing practices across development teams.

• Collaborate with Dev Ops Engineers for integration of automated testing into Azure Dev Ops CI/CD pipelines.
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Test Framework & Tooling Ownership

• Define and govern the enterprise QA tooling ecosystem.

• Implement and manage testing tools including:
o Pytest
o Playwright
o Postman
o JMeter
o Grafana k6
o Azure Test Plans
o Azure Boards

• Evaluate and recommend additional testing and observability tools where required.

• Establish enterprise test repositories, versioning standards, and framework governance.
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Data & AI Platform Testing

• Define testing strategies for:
o Azure-based cloud applications
o Databricks workloads
o Data Engineering pipelines
o Data Warehouse migration initiatives
o Semantic Layer implementations
o Power BI reporting ecosystems
o AI/ML-enabled platforms

• Lead enterprise data quality validation and reconciliation strategies.

• Define validation frameworks for:
o ETL/ELT Pipelines
o Data Integrity
o Data Consistency
o Data Reconciliation
o Business Rule Validation

• Collaborate with Data Engineering and AI teams to validate model outputs and data processing workflows.
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Security & Compliance Testing

• Collaborate with Security Team for Security Testing using enterprise security testing strategy including:
o SAST
o DAST
o SCA
o Penetration Testing

• Ensure testing processes comply with healthcare and PHI data security standards.

• Establish secure test data management strategies across environments.

• Define governance for synthetic, non-production, and production data usage.

• Collaborate with security and compliance teams to address vulnerabilities and audit requirements.
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Performance Engineering

• Architect enterprise performance testing strategy covering:
o Load Testing
o Stress Testing
o Volume…