Azure Senior Data Architect
India
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Job Description
Azure Senior Data Architect
Chennai, Tamil Nadu

Job Summary

  • 15+ years of software quality engineering experience with a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related technical discipline
  • Extensive hands-on experience defining and executing test strategies, test plans, test cases, and quality gates across large-scale enterprise large scale applications
  • Experience in solution architecture for QA, SDLC transformation, and embedding quality practices within Agile and DevSecOps delivery models

  • Generative AI & Intelligent Test Automation (2+ Years)

    • Hands-on experience building AI-powered test automation using GenAI frameworks: LangChain, LangGraph, CrewAI, AutoGen, or MCP Protocol
    • Strong knowledge of LLM APIs (Anthropic Claude, OpenAI GPT-4o) for generating test cases, test data, and defect analysis summaries
    • Experience using Retrieval-Augmented Generation (RAG) to query requirements and policy documents to auto-generate business-aligned test scenarios
    • Proficiency in prompt engineering techniques (Chain-of-Thought, few-shot strategies) to produce high-quality test artefacts via LLMs
    • Exposure to cloud AI platforms for QA: AWS Bedrock, Azure OpenAI Service, or Google Vertex AI

    Automation Testing Tools & Frameworks

    • Extensive hands-on experience with UI and API automation frameworks: Selenium WebDriver, Playwright, Cypress, or Appium for web and mobile applications
    • API and service-layer testing: REST Assured, Postman/Newman, Karate DSL, or SOAP UI for functional and contract testing
    • Performance and load testing: Apache JMeter, Gatling, or AWS Distributed Load Testing for stress, soak, and scalability validation
    • BDD frameworks: Cucumber (Gherkin), SpecFlow, or Behave — bridging business requirements and automated test execution
    • Security testing: OWASP ZAP, Burp Suite, or SonarQube for vulnerability scanning and static code analysis integrated into CI/CD pipelines
    • Test management platforms: Jira/Xray, ALM/Micro Focus, TestRail, or Azure Test Plans for traceability and defect lifecycle management
    • DevOps integration: Jenkins, GitHub Actions, or GitLab CI for continuous testing pipelines; Docker and Kubernetes for containerized test execution

    • Test Strategy, Architecture & SDLC Transformation

      • Demonstrated ability to define and own enterprise-wide test strategies, test architectures, and quality frameworks aligned to programme objectives
      • Experience authoring test plans, entry/exit criteria, traceability matrices (RTM), and test summary reports for regulatory and audit purposes
      • Proven ability to transform manual QA processes into shift-left, AI-assisted, and continuous-testing models within Agile/SAFe delivery
      • Strong experience in risk-based testing, defect triage, root-cause analysis, and quality metrics reporting to senior stakeholders
      • Ability to establish Test Centres of Excellence (TCoE), define testing standards, and govern quality across multiple workstreams

Key Responsibilities

Generative AI & Intelligent Test Automation (2+ Years) Hands-on experience building AI-powered test automation using GenAI frameworks: LangChain, LangGraph, CrewAI, AutoGen, or MCP Protocol Strong knowledge of LLM APIs (Anthropic Claude, OpenAI GPT-4o) for generating test cases, test data, and defect analysis summaries Experience using Retrieval-Augmented Generation (RAG) to query requirements and policy documents to auto-generate business-aligned test scenarios Proficiency in prompt engineering techniques (Chain-of-Thought, few-shot strategies) to produce high-quality test artefacts via LLMs Exposure to cloud AI platforms for QA: AWS Bedrock, Azure OpenAI Service, or Google Vertex AI Automation Testing Tools & Frameworks Extensive hands-on experience with UI and API automation frameworks: Selenium WebDriver, Playwright, Cypress, or Appium for web and mobile applications API and service-layer testing: REST Assured, Postman/Newman, Karate DSL, or SOAP UI for functional and contract testing Performance and load testing: Apache JMeter, Gatling, or AWS Distributed Load Testing for stress, soak, and scalability validation BDD frameworks: Cucumber (Gherkin), SpecFlow, or Behave — bridging business requirements and automated test execution Security testing: OWASP ZAP, Burp Suite, or SonarQube for vulnerability scanning and static code analysis integrated into CI/CD pipelines Test management platforms: Jira/Xray, ALM/Micro Focus, TestRail, or Azure Test Plans for traceability and defect lifecycle management DevOps integration: Jenkins, GitHub Actions, or GitLab CI for continuous testing pipelines; Docker and Kubernetes for containerized test execution Test Strategy, Architecture & SDLC Transformation Demonstrated ability to define and own enterprise-wide test strategies, test architectures, and quality frameworks aligned to programme objectives Experience authoring test plans, entry/exit criteria, traceability matrices (RTM), and test summary reports for regulatory and audit purposes Proven ability to transform manual QA processes into shift-left, AI-assisted, and continuous-testing models within Agile/SAFe delivery Strong experience in risk-based testing, defect triage, root-cause analysis, and quality metrics reporting to senior stakeholders Ability to establish Test Centres of Excellence (TCoE), define testing standards, and govern quality across multiple workstreams Insurance Domain Experience Hands-on testing experience with core insurance platforms: ALIP (Accenture Life Insurance Platform), Oracle Insurance Policy Administration (OIPA), or equivalent policy management systems Experience testing end-to-end insurance processes: policy issuance, underwriting workflows, claims processing, billing and premium calculation, and policy servicing Familiarity with insurance product types: life, annuities, group benefits, and health insurance — including complex policy rules and regulatory validation Knowledge of insurance data standards and regulatory compliance testing: SOX, NAIC, state-level insurance regulations, and GDPR-equivalent data-privacy requirements Experience validating system integrations between policy admin, CRM, billing, reinsurance, and reporting systems in an insurance ecosystem Soft Skills & Professional Competencies Excellent written communication skills — ability to produce clear test strategies, architecture documents, and executive quality dashboards for both technical and business audiences Strong verba

Skill Requirements

Soft Skills & Professional Competencies

  • Excellent written communication skills — ability to produce clear test strategies, architecture documents, and executive quality dashboards for both technical and business audiences
  • Strong verbal communication — able to articulate testing risks, quality posture, and AI-driven QA initiatives confidently in steering committees and programme reviews
  • Stakeholder engagement — proven ability to work closely with business analysts, developers, product owners, and compliance teams to define and uphold quality standards
  • Collaborative team player — comfortable leading and working within distributed QA teams while also being self-driven in individual analysis and test design
  • Mentoring & knowledge sharing — willingness to coach QA engineers, promote automation best practices, and build test engineering capability across teams
  • Analytical thinking — structured problem-solver who can identify root causes, assess testing risks, and propose pragmatic quality solutions under delivery pressure
  • Adaptability — thrives in fast-moving environments where AI technologies, insurance regulations, and business priorities evolve rapidly

Other Requirements

1. Microsoft Certified: Azure Solutions Architect Expert (Recommended)

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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.