Sr. Test Manager

A leading Consulting Firm is seeking a Sr. Test Manager for a 6+ month contract to hire role. Location can be remote, however Chicago, IL; Richardson, TX; and Lafayette, LA are highly preferred Duties: * Lead and manage end-to-end Quality Engineering (QE) and testing delivery for enterprise Data & Analytics platforms, Big Data applications, ETL/ELT pipelines, cloud data platforms, and data integration solutions. * Define and execute comprehensive test strategies, test plans, quality standards, automation roadmaps, and release readiness criteria across multiple projects and Agile teams. * Provide technical leadership and oversight for testing solutions built using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, Azure Data Factory (ADF), and SQL. * Lead ETL/ELT testing, source-to-target validation, data reconciliation, data quality, integration, regression, system, performance, and end-to-end testing. * Oversee the design and execution of complex SQL queries and automated validation frameworks to ensure data accuracy, completeness, consistency, integrity, and transformation correctness. * Manage and mentor onsite/offshore QE teams, including resource planning, workload allocation, performance management, technical guidance, and delivery accountability. * Drive test automation strategy and framework development using Python, PySpark, SQL, and enterprise automation tools to improve test coverage, efficiency, and reliability. * Oversee validation of Databricks notebooks, Spark jobs, Delta Lake tables, ADF pipelines, batch processing, and workflow orchestration, including Control-M and Unix/Linux environments. * Establish and monitor quality KPIs, test coverage, defect metrics, automation effectiveness, delivery risks, and release readiness dashboards. * Lead defect triage, root-cause analysis, risk assessment, issue escalation, and resolution coordination across development, engineering, architecture, and business teams. * Collaborate with Product Owners, Data Engineers, Architects, Scrum Masters, business stakeholders, and program leadership to align testing priorities with delivery objectives. * Lead and manage end-to-end Quality Engineering (QE) and testing delivery for enterprise Data & Analytics platforms, Big Data applications, ETL/ELT pipelines, cloud data platforms, and data integration solutions. * Define and execute comprehensive test strategies, test plans, quality standards, automation roadmaps, and release readiness criteria across multiple projects and Agile teams. * Provide technical leadership and oversight for testing solutions built using Databricks, Apache Spark, PySpark, Python, Hadoop/HDFS, Hive, Azure Data Factory (ADF), and SQL. * Lead ETL/ELT testing, source-to-target validation, data reconciliation, data quality, integration, regression, system, performance, and end-to-end testing. * Oversee the design and execution of complex SQL queries and automated validation frameworks to ensure data accuracy, completeness, consistency, integrity, and transformation correctness. * Manage and mentor onsite/offshore QE teams, including resource planning, workload allocation, performance management, technical guidance, and delivery accountability. * Drive test automation strategy and framework development using Python, PySpark, SQL, and enterprise automation tools to improve test coverage, efficiency, and reliability. * Oversee validation of Databricks notebooks, Spark jobs, Delta Lake tables, ADF pipelines, batch processing, and workflow orchestration, including Control-M and Unix/Linux environments. * Establish and monitor quality KPIs, test coverage, defect metrics, automation effectiveness, delivery risks, and release readiness dashboards. * Lead defect triage, root-cause analysis, risk assessment, issue escalation, and resolution coordination across development, engineering, architecture, and business teams. * Collaborate with Product Owners, Data Engineers, Architects, Scrum Masters, business stakeholders, and program leadership to align testing priorities with delivery objectives. * Manage testing schedules, estimates, resource capacity, dependencies, and deliverables to ensure quality milestones and project commitments are achieved. * Champion BDD/TDD practices, continuous testing, CI/CD integration, test automation, and shift-left quality engineering. * Lead testing governance, stakeholder reporting, quality reviews, production readiness assessments, and go/no-go recommendations. * Support Agile/Scrum and SAFe delivery practices, including sprint planning, backlog refinement, PI planning, reviews, retrospectives, and cross-team coordination. * Drive continuous improvement through standardized testing processes, reusable frameworks, automation, defect prevention, and quality engineering best practices. Requirements: * 12+ years of experience in Software Quality Engineering, ETL/Big Data Testing, Data Warehouse Testing, or enterprise application testing, including 5+ years in Test Lead/Test Manager roles. * Proven experience managing enterprise QE/testing teams, including onsite/offshore delivery, resource planning, test execution, stakeholder communication, and quality governance. * Strong experience defining and implementing enterprise test strategies, automation frameworks, quality standards, test plans, and release readiness processes. * Strong technical knowledge of Databricks, Apache Spark, PySpark, Python, Azure Data Factory (ADF), Hadoop/HDFS, Hive, SQL, and ETL/ELT platforms. * Advanced SQL and data validation expertise, including source-to-target reconciliation, transformation validation, data quality checks, and complex backend testing. * Experience managing testing for large-scale Data Lakes, Data Warehouses, Lakehouse architectures, cloud data platforms, and enterprise data integration solutions. * Strong understanding of Databricks Workflows, Delta Lake, ADF pipelines, batch processing, job dependencies, Unix/Linux, and Control-M or equivalent enterprise schedulers. * Experience leading functional, integration, regression, system, performance, API, data quality, and end-to-end testing. * Experience implementing test automation using Python, PySpark, SQL, Selenium, Cucumber/BDD, PyTest, or equivalent frameworks. * Strong knowledge of Agile/Scrum, SAFe, SDLC/STLC, CI/CD, defect management, test management, and quality assurance governance. * Proven ability to manage quality metrics, test coverage, defect leakage, delivery risks, resource capacity, and stakeholder reporting. * Strong leadership, communication, analytical, problem-solving, mentoring, and stakeholder management skills. Preferred Skills: U.S. Medicare Experience. * U.S. healthcare payer and Medicare/Medicaid experience, including claims, member enrollment, eligibility, provider, and healthcare data processing. * Experience with HIPAA, PHI/PII data protection, healthcare regulatory compliance, and data governance. * Experience managing testing initiatives across large enterprise Data & Analytics modernization and cloud migration programs. * Knowledge of AWS data services, including S3, Glue, EMR, Lambda, and Redshift. * Experience with Azure Synapse Analytics, ADLS Gen2, Snowflake, Delta Lake, and modern Lakehouse architectures. * Experience with API testing, performance testing, BDD/TDD, Selenium, Cucumber, Postman, JMeter, and automated regression frameworks. * Familiarity with Power BI, Tableau, SSRS, and enterprise reporting validation. * Experience with Jenkins, Azure DevOps, Git, CI/CD pipelines, and automated quality gates. * Certifications such as ISTQB, SAFe, Scrum Master, Azure, Databricks, or relevant cloud/data platform certifications are advantageous. Test Management, QE Leadership & Delivery Governance 8+ years ETL/Big Data Testing & Data Validation 8+ years SQL, Data Quality & Reconciliation Testing 8+ years Databricks / Apache Spark / PySpark Testing | Azure Data Factory (ADF) & Data Pipeline Testing | Python, Test Automation & BDD/TDD 8+ years Agile/SAFe, Defect Management & Stakeholder Leadership 8+ years