Who We Are Looking For:
We are seeking an Data Quality engineer responsible for ensuring the accuracy, completeness, consistency, and reliability of critical business data across enterprise systems. In this role, your primary focus will be to perform data quality (DQ) checks, analyze data issues, support remediation, and collaborate with business, operations, and technology teams to improve data quality outcomes.
This role requires 12-15 years of experience in data quality, data analysis, data governance, or related enterprise data roles, with strong hands-on experience in data validation, profiling, reconciliation, issue analysis, and reporting. The ideal candidate will be a strong individual contributor with working knowledge of cloud platforms and AI concepts to support modern data environments, automation opportunities, and improved monitoring practices.
What You Will Be Responsible For:
Data Quality Operations & Controls
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Perform end-to-end data quality checks across critical datasets to validate accuracy, completeness, consistency, timeliness, and integrity
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Execute and maintain data quality rules, thresholds, scorecards, and control reports to monitor data health across source and downstream systems
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Conduct data profiling, reconciliation, and trend analysis to identify anomalies, exceptions, duplicates, and missing or invalid records
Data Analysis, Investigation & Remediation
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Investigate data quality issues, perform root-cause analysis, and coordinate with source system owners, data engineers, and business users to support timely resolution
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Run and optimize SQL-based validations, reconciliation checks, and exception reporting across multiple data sources and business processes
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Support remediation activities by defining and tracking:
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Issue logs, defect trends, and remediation plans
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Escalations, ownership tracking, and closure validation
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Prepare data quality reports, dashboards, and management updates that communicate issue status, trends, business impact, and progress against remediation actions
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Work with stakeholders to improve data collection, validation, and control processes and support best practices for high-quality data management
Data Governance, Reporting & Enablement:
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Support data governance standards, including data definitions, business rules, ownership alignment, and control procedures
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Work with technology teams to embed data quality controls into data pipelines, reporting processes, and cloud-based data platforms
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Monitor and report on data quality KPIs, SLA adherence, recurring defects, and control effectiveness for key business processes
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Contribute ideas on using cloud capabilities and AI-enabled techniques to improve anomaly detection, monitoring efficiency, reporting, and data quality operations
Stakeholder Engagement & Continuous Improvement:
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Work closely with business users, operations teams, and technology partners to understand critical data issues and align remediation priorities
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Support continuous improvement initiatives to strengthen data controls, reduce recurring defects, and improve trust in enterprise data
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Follow up across teams to support timely closure of data issues, maintain clear tracking, and provide transparent status updates
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Stay current on evolving practices in data quality, cloud data platforms, and AI-assisted data operations and recommend practical improvements where appropriate.
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Strong hands-on experience with data quality checks, data profiling, reconciliation, validation rules, issue analysis, and root-cause investigation
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Good understanding of cloud platforms such as Azure, AWS, or GCP, especially in relation to data platforms, storage, reporting, and control automation
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Working knowledge of AI / ML concepts, including anomaly detection, pattern recognition, supervised and unsupervised learning basics, and how AI can support data monitoring and operational efficiency
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Understanding of AI model and data evaluation concepts, including data drift, model performance monitoring, false positives / false negatives, and quality metrics relevant to AI-driven data checks
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Awareness of Generative AI and prompt engineering basics, including the ability to use AI assistants responsibly for data analysis support, documentation, and productivity enhancement
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Familiarity with responsible AI and AI governance principles, including explainability, bias awareness, data privacy, and appropriate human oversight in AI-supported workflows
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Solid knowledge of SQL, data analysis, reporting, metadata, and enterprise data flows across upstream and downstream systems
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Strong communication and stakeholder management skills, with the ability to explain data issues, business impact, and remediation actions clearly to both technical and non-technical audiences.
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Experience with data governance frameworks, control processes, and data quality metrics in enterprise environments
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Exposure to cloud-based data tools, data warehouses, data lakes, or reporting platforms is preferred
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Experience using automation, analytics, or AI-assisted techniques to improve data validation and monitoring is a plus
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Relevant certifications in cloud, data management, data governance, or analytics are a plus
Education & Preferred Qualifications:
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Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
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12-15 years of experience in data quality, data analysis, data governance, reporting, or related enterprise data roles
Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
Why this role is important to us:
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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