Principal, Quality Eng; Data & Analytics

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Principal, Data and Analytics Quality Engineering Lead

Shape how quality is engineered across mission-critical financial platforms.

This is a rare opportunity to lead Quality Engineering at scale, driving intelligent automation, embedding quality into every stage of delivery, and redefining how enterprise data, integration and analytics platforms are tested,validated and trusted.

You’lloperateacross a diverse technology landscape spanning Microsoft Fabric, EBX, Azure Integration Services, Informatica IDMC and Control-M orchestration, bringing together modern QE practices, AI-driveninsightsand deep domainexpertiseto ensure resilience,accuracy and performance where it matters most.

Ifyou’repassionate about transforming quality from a checkpoint into a strategic engineering capability andwant to make a visible impact in a complex, regulated environment, this is your moment.

What You’llDo

Define and lead Quality Engineering strategy across the Data & Analytics platform estate, ensuring quality is embedded from design through to operational support across data, integration, master/referencedataand reporting capabilities.

Lead platform-wide assurance across Microsoft Fabric, EBX, Azure Integration Services, Informatica IDMC and Control-M, ensuring consistent quality standards, automationpatternsand governance controls across the full technology landscape.

Embed automation-first testing into CI/CD pipelines, covering functional, regression, reconciliation, interface, data quality and operational validation across cloud data platforms and integration services.

Define validation approaches for Microsoft Fabric workloads, including Lakehouse and Warehouse structures, Medallion Architecture flows, Data Factory pipelines, notebooks, semantic models, Power BIoutputsand Direct Lake reporting patterns.

Establish QA practices for EBX master and reference data capabilities, including workflow validation, hierarchy testing, data governance rule validation, reference dataintegrityand integration with downstream consuming platforms.

Define assurance patterns for Azure Integration Services, including API and interface testing, message validation, event-driven integration, retry handling, exception paths, monitoring,alerting and resilience scenarios.

Lead QA for Informatica IDMC and related data integration services, including ingestion, transformation, reconciliation, lineage validation, data qualityrulesand migration assurance from legacy platforms where applicable.

Shape testing for the target-state Control-M orchestration model, covering batch scheduling, dependency validation,restartability, recovery, SLA monitoring, operationalhandoverand end-to-end runbook assurance.

Align QA practices with regulatory frameworks including SOX, DORA and IFRS, and modern delivery models including Agile, Dev Ops,Data Opsand QA-Ops.

Partner with business domain experts, data owners,architect sand engineering teams to ensure data accuracy, integrity, lineage, financialvalidationand operational resilience are built into test strategies.

Design test data and environment strategies for complex financial, integration and analytics scenarios, including payments, GL postings, month-end processes, master/reference data updates, batchorchestrationand downstream reporting.

Drive innovation in testing using AI/ML techniques, performance engineering, observability, service resiliencevalidationand data quality analytics.

Elevate engineering maturity through shift-left and shift-right testing, reusable automation frameworks, quality gates, continuousimprovementand measurable QE outcomes.

Need to Have - Your Essentials

Demonstrable experience leading QA or Quality…